Cloud Sql Jobs

Data Engineering Engineer 0

RLE India Private Limited•

Chennai

•Full-time

Data Engineering Engineer 0 Job Description Job Summary We are seeking a skilled Data Engineering Engineer to join our team in Chennai. This role offers an exciting opportunity to contribute to a dynamic environment within the IT / Technology industry. Key Responsibilities The specifics of the key responsibilities were not provided. This section will be updated as information becomes available. Required Skills & Qualifications The ideal candidate will possess a strong foundation in data engineering principles and a proven ability to leverage various technologies to build and maintain robust data pipelines. The following skills and qualifications are essential: Data Processing & Orchestration: Demonstrated proficiency in designing, building, and maintaining data pipelines using AIRFLOW and Airflow PySpark . Experience in orchestrating complex data workflows and ensuring data quality throughout the process. Cloud Platform Expertise: Extensive experience with Google Cloud Platform ( GCP ), including Dataproc , Big Query , Data Flow , and Data Fusion . Ability to leverage GCP services to build scalable and reliable data solutions. Infrastructure as Code: Solid understanding of infrastructure as code principles and experience using TERRAFORM to automate infrastructure provisioning and management. Containerization & CI/CD: Familiarity with containerization technologies and experience using Tekton for continuous integration and continuous delivery (CI/CD) of data engineering pipelines. Database Management: Proficiency in working with relational databases, including POSTGRES and Cloud SQL . Ability to design and optimize database schemas for performance and scalability. Programming Skills: Strong programming skills in Python , with the ability to write clean, efficient, and well-documented code. API Integration: Experience working with APIs for data ingestion and integration. AI/ML Awareness: A foundational understanding of AI/ML concepts and how data engineering supports AI/ML initiatives. Qualifications: A Bachelor's Degree is required. Experience Required: 7 - 7 years of relevant experience. This indicates a senior-level role requiring a proven track record of success in data engineering, with the ability to lead projects and mentor junior team members. What We Offer Salary: The salary information was not provided.

Data Engineering Engineer 2

RLE India Private Limited•

Chennai

•full time

Job Summary We are seeking a skilled Data Engineering Engineer 2 to join our growing team in Chennai. This role is critical to supporting our data-driven initiatives within the Technology industry. The position requires a strong foundation in data engineering principles and a passion for building robust and scalable data pipelines. Key Responsibilities This role will focus on the design, development, and maintenance of data pipelines and infrastructure. The successful candidate will collaborate with cross-functional teams to ensure data quality, reliability, and accessibility. Required Skills & Qualifications The ideal candidate will possess a strong understanding of data engineering concepts and a proven ability to implement them in a practical setting. The following skills and qualifications are essential: Google Cloud Platform (GCP) : Demonstrated proficiency in utilizing GCP services for data storage, processing, and analysis. BigQuery : Expertise in designing and implementing BigQuery solutions for large-scale data warehousing and querying. Data Flow : Experience with Data Flow for building and managing streaming data pipelines. Dataproc : Ability to leverage Dataproc for running and managing Apache Spark and Apache Hadoop clusters. Data Fusion : Familiarity with Data Fusion for building and managing data integration pipelines. TERRAFORM : Proficiency in using TERRAFORM for infrastructure as code and automating the deployment of data infrastructure. Tekton : Experience with Tekton for building and managing CI/CD pipelines for data engineering projects. Cloud SQL : Knowledge of Cloud SQL for managing relational databases in the cloud. AIRFLOW : Experience with AIRFLOW for orchestrating and scheduling complex data workflows. POSTGRES : Familiarity with POSTGRES database management. Airflow PySpark : Ability to utilize Airflow and PySpark for data processing and transformation. Python : Strong programming skills in Python for data manipulation, scripting, and automation. API : Understanding of API integration and data exchange. Big Data : Solid understanding of Big Data concepts and technologies. Apache Kafka : Experience with Apache Kafka for building and managing real-time data streaming applications. Bachelor's Degree : A Bachelor's Degree is required. Experience Required: 4 - 4 years of experience in a data engineering role. This level of experience indicates a seasoned professional capable of independently designing and implementing complex data solutions, as well as mentoring junior team members. What We Offer Salary: (No salary provided in the input data)

Data Engineering Engineer 2

RLE India Private Limited•

Chennai

•full time

Job Summary We are seeking a skilled Data Engineering Engineer 2 to join our growing IT / Technology team. This role will focus on building and maintaining robust data pipelines and infrastructure. Key Responsibilities This position will be responsible for the design, development, and maintenance of data solutions. The role requires a strong understanding of data engineering principles and a commitment to delivering high-quality, scalable solutions. Required Skills & Qualifications The ideal candidate will possess a strong foundation in data engineering practices and a proven ability to work with complex data systems. The following skills and qualifications are essential: Google Cloud Platform: Demonstrated proficiency in utilizing Google Cloud Platform services for data storage, processing, and analysis. BigQuery: Expertise in querying and manipulating large datasets using BigQuery . Data Flow: Experience designing and implementing data pipelines using Data Flow . Dataproc: Ability to leverage Dataproc for distributed data processing and analytics. Data Fusion: Knowledge of Data Fusion for building and managing data integration pipelines. TERRAFORM: Proficiency in infrastructure-as-code using TERRAFORM for automating infrastructure provisioning and management. Tekton: Experience with Tekton for building and managing CI/CD pipelines. Cloud SQL: Familiarity with Cloud SQL for managing relational databases in the cloud. AIRFLOW: Strong understanding of AIRFLOW for orchestrating complex data workflows. POSTGRES: Experience with POSTGRES database management. Airflow PySpark: Ability to utilize Airflow and PySpark for data processing and transformation. Python: Strong programming skills in Python for data manipulation and automation. APIs: Experience working with APIs for data integration and exchange. Big Data: A solid understanding of Big Data concepts and technologies. Apache Kafka: Experience with Apache Kafka for real-time data streaming. Education: A Bachelor's Degree is required. Experience: A minimum of 4 - 4 years of experience in a data engineering role is expected. This level of experience indicates a seasoned professional capable of working independently and contributing significantly to complex projects. What We Offer Salary:

Artificial Intelligence Senior Associate

RLE India Private Limited•

Chennai

•full time

Job Summary We are seeking a highly motivated and skilled Artificial Intelligence Senior Associate to join our growing team in India. This role is ideal for a candidate with a strong foundation in data science and a passion for leveraging AI/ML to solve complex business challenges within the Technology industry. Key Responsibilities The Artificial Intelligence Senior Associate will be responsible for a range of tasks related to the development, implementation, and maintenance of AI/ML solutions. This includes collaborating with cross-functional teams to identify opportunities for AI/ML applications, designing and building AI/ML models, and ensuring the scalability and reliability of these models in a production environment. The role requires a proactive approach to problem-solving and a commitment to continuous improvement. Required Skills & Qualifications AI/ML : A deep understanding of artificial intelligence and machine learning principles, including various algorithms and techniques for model building, training, and evaluation. Python : Proficiency in Python programming language for data manipulation, statistical analysis, and AI/ML model development. Google Cloud Platform (GCP) : Experience with GCP services, including Big Query , Dataproc , Data Fusion , and Cloud SQL , for data storage, processing, and analysis. Data/Analytics : Strong analytical skills with the ability to extract meaningful insights from large datasets and communicate findings effectively. Automation : Experience in automating data processing and AI/ML workflows to improve efficiency and reduce errors. Business Analysis : Ability to understand business requirements and translate them into technical specifications for AI/ML solutions. Business Transformation : A grasp of how AI/ML can be leveraged to drive business transformation and create competitive advantage. CI/CD : Familiarity with continuous integration and continuous delivery ( CI/CD ) practices for deploying and managing AI/ML models. ETL : Experience with extract, transform, load ( ETL ) processes for data integration and preparation. Jira : Proficiency in using Jira for project management and issue tracking. Data Flow : Understanding of data flow principles and techniques for designing efficient data pipelines. TERRAFORM : Experience with TERRAFORM for infrastructure as code. Tekton : Knowledge of Tekton for container-native CI/CD. AIRFLOW : Experience with AIRFLOW for orchestrating complex data workflows. Airflow PySpark : Ability to utilize Airflow with PySpark for large-scale data processing. POSTGRES : Familiarity with POSTGRES database. API : Understanding of API design and integration. GCP : Comprehensive knowledge of GCP ecosystem. Financial Reporting : Ability to apply AI/ML techniques to financial data and generate insightful reports. Leadership : Demonstrated leadership potential with the ability to guide and mentor junior team members. Strategic Communication : Excellent communication skills with the ability to present complex technical concepts to both technical and non-technical audiences. Communication Skills : Strong written and verbal communication skills. Analytical Skills : Exceptional analytical and problem-solving skills. Problem-Solving Skills : Ability to identify, analyze, and solve complex problems effectively. GitHub : Proficiency in using GitHub for version control and collaboration. Qualifications : A Bachelor's Degree and a Master's Degree are required. Experience Required : We are seeking candidates with 3-9 years of relevant experience in data science or a related field. This level of experience indicates a strong foundation in AI/ML principles and a proven ability to deliver impactful results. What We Offer Salary :

Back-end Software Development Engineer

RLE India Private Limited•

Chennai

•full time

Job Summary We are seeking a skilled Back-end Software Development Engineer to join our growing team. This role is ideal for a highly motivated individual with a strong foundation in back-end development and a passion for leveraging cutting-edge technologies to build scalable and robust solutions. Key Responsibilities The responsibilities of this role will encompass the design, development, and maintenance of our back-end systems. You will be responsible for ensuring the reliability, performance, and security of our applications. Required Skills & Qualifications Full Stack Java Developer : Demonstrated proficiency in Java development, encompassing both front-end and back-end aspects of application development. GCP : Experience with Google Cloud Platform (GCP) services, including deployment, scaling, and management of applications within the GCP environment. Cursor AI : Familiarity with Cursor AI and its application in software development workflows. Open Code AI : Understanding of Open Code AI principles and their implementation in code generation and analysis. Gen AI : Knowledge of Generative AI concepts and their application in software development. Big Query : Expertise in utilizing BigQuery for data warehousing, querying, and analysis. Jira : Proficiency in using Jira for project management, issue tracking, and agile development workflows. Java : Strong understanding of Java programming language and its core principles. Spring Boot : Experience with Spring Boot framework for building stand-alone and production-ready Spring-based applications. Spring MVC : Knowledge of Spring MVC for developing web applications. API Design : Ability to design and implement robust and scalable APIs. REST : Experience with REST ful API design and implementation. GraphQL : Familiarity with GraphQL for efficient data fetching and manipulation. GKE : Experience with Google Kubernetes Engine ( GKE ) for container orchestration. Cloud Run : Understanding of Cloud Run for deploying and managing containerized applications. Pub/Sub : Knowledge of Pub/Sub for asynchronous messaging and event-driven architectures. IAM : Experience with Identity and Access Management ( IAM ) principles and implementation. PostgreSQL : Strong understanding of PostgreSQL database management system. Cloud SQL : Experience with Cloud SQL for managing relational databases in the cloud. Query Tuning : Ability to optimize database queries for performance and efficiency. Replication : Understanding of database replication techniques for high availability and disaster recovery. Indexing : Knowledge of database indexing strategies for improved query performance. BigData : Experience with BigData technologies and processing large datasets. Dataflow : Familiarity with Dataflow for stream and batch data processing. Spark : Experience with Spark for distributed data processing and analytics. Vertex AI : Understanding of Vertex AI for machine learning model deployment and management. LLM APIs : Knowledge of Large Language Model ( LLM ) APIs and their integration into applications. CI/CD : Experience with Continuous Integration and Continuous Delivery ( CI/CD ) pipelines. Docker : Proficiency in using Docker for containerization and application packaging. Kubernetes : Strong understanding of Kubernetes for container orchestration and management. Problem-Solving Skills : Demonstrated ability to analyze complex problems and develop effective solutions. Communication Skills : Excellent written and verbal communication skills for collaborating with team members and stakeholders. Qualifications : A Bachelor's Degree is required. Experience Required : 6 years of experience is preferred. The ideal candidate will possess a proven track record of success in back-end development and a strong understanding of software engineering best practices. What We Offer Salary :

Software Engineer (3) - Core Senior Engineer

RLE India Private Limited•

Chennai

•full time

Job Summary We are seeking a highly skilled and experienced Software Engineer to join our core team. This is a senior-level role requiring a deep understanding of software development principles and a proven ability to design, develop, and deploy scalable and reliable applications. The ideal candidate will possess a strong background in cloud technologies and a passion for building innovative solutions. Key Responsibilities This role will be responsible for the full software development lifecycle, from design and implementation to testing and deployment. The candidate will collaborate with cross-functional teams to deliver high-quality software solutions that meet business requirements. Required Skills & Qualifications Education: A Bachelor's Degree is required. Experience: A minimum of 10 years of experience in software engineering is required. This level of experience indicates a seasoned professional capable of leading technical initiatives and mentoring junior engineers. Programming Languages: Proficiency in Java is essential. Frameworks & Technologies: Demonstrated experience with Spring Boot for building robust and scalable applications. Cloud Computing: Extensive experience with GCP (Google Cloud Platform), including Cloud Run for containerized application deployment. Containerization & Orchestration: Strong understanding of containerization technologies such as Docker and orchestration platforms like Kubernetes , GKE , and OpenShift . Experience with Helm for managing Kubernetes deployments is also required. CI/CD & DevOps: Solid experience with CI/CD pipelines, including tools like Tekton , Argo CD , and GitHub Actions . Familiarity with GitOps principles is a plus. Frontend Development: Experience with Angular for building modern user interfaces. API Development: Proven ability to design and implement REST APIs and Microservices architectures. Integration Patterns: Knowledge of Enterprise Integration Patterns for building loosely coupled and scalable systems. Data Management: Experience with relational databases such as AlloyDB and Cloud SQL for PostgreSQL . Cloud Security: Strong understanding of cloud security principles, including IAM , Service Accounts , Workload Identity Federation , Secret Manager , External Secrets , and Least-Privilege Access Controls . Container Security: Experience with Artifact Registry , Container Security , Binary Authorization , and Vulnerability Scanning . Deployment & Monitoring: Proficiency in Secure Deployment Practices , Cloud Logging , Cloud Monitoring , Prometheus , and Dynatrace/Grafana . Operational Skills: Ability to perform Root-Cause Analysis and implement effective Alerting systems. Infrastructure as Code: Experience with Terraform for managing infrastructure as code. Analytical Skills: Strong Analytical Skills for problem-solving and decision-making. Problem-Solving Skills: Excellent Problem-Solving Skills to identify and resolve complex technical challenges. Communication Skills: Effective Communication Skills for collaborating with cross-functional teams and communicating technical concepts clearly. Networking: Understanding of Application Ingress/Egress , Load Balancing , API Routing , Shared VPC , Private Service Connect , Firewall Rules , and DNS . Connectivity: Experience with Private Connectivity and Cross-Project Communication .

Software Engineer

RLE India Private Limited•

Chennai

•full time

Job Summary We are seeking three Software Engineer professionals to join our growing team. This role is ideal for individuals with a strong foundation in software development and a passion for building scalable and robust applications within the IT / Technology industry. Key Responsibilities The responsibilities of this role will encompass the full software development lifecycle, from design and implementation to testing and deployment. The successful candidate will contribute to the development of high-quality Microservices and RESTful APIs , ensuring adherence to coding standards and best practices. Required Skills & Qualifications Education: A bachelor's degree is required. Experience: A minimum of 10 years of experience in software development is expected. This level of experience indicates a seasoned professional capable of independent work and mentoring junior team members. Programming Languages: Proficiency in Java and Spring Boot is essential. Cloud Technologies: Demonstrated experience with Google Cloud Platform (GCP) , including Cloud Run , and Red Hat OpenShift . Infrastructure Management: Solid understanding of Infrastructure as Code principles and experience with Terraform . DevOps Practices: Familiarity with CI/CD pipelines and associated tools. Database Management: Experience with SQL and Postgres databases. Software Development Best Practices: A commitment to Code Quality and a strong understanding of Testing methodologies, including Unit Testing and Integration Testing . Architectural Patterns: Experience designing and implementing Distributed Systems . Agile Methodologies: Proven ability to work effectively within an Agile development environment. Collaboration & Communication: Excellent Communication Skills and the ability to engage in effective Cross-functional teamwork . Project Management Tools: Experience using Jira for project tracking and issue resolution. Security Practices: A strong understanding of Security principles, including Encryption and Anonymization techniques. API Development: Experience in designing and implementing APIs . Problem-Solving & Analytical Skills: Exceptional Problem-Solving Skills and Analytical Skills . User Interface: Familiarity with User Interface development. JVM: Understanding of the JVM . Debugging: Proficiency in Debugging and Performance Tuning . What We Offer Salary: (No salary provided)

Software Engineer (3) - Core Engineer 0

RLE India Private Limited•

Chennai

•full time

Job Summary We are seeking three Software Engineer (3) - Core Engineer 0 to join our growing team within the IT / Technology industry. This is a fantastic opportunity for a highly motivated individual to contribute to a dynamic environment. Key Responsibilities No data provided for Key Responsibilities. Required Skills & Qualifications The ideal candidate will possess a strong foundation in software engineering principles and a demonstrated ability to apply them effectively. The following skills and qualifications are essential: Database Management: Proficiency in DB2 and Cloud SQL , including experience with database design, implementation, and optimization. Job Control Language (JCL): Solid understanding and practical experience utilizing Job Control Language (JCL) for batch processing and job scheduling within a mainframe environment. Programming Languages: Expertise in COBOL and Java , with a proven ability to write, test, and debug code. Data Warehousing: Experience with Big Query for data analysis and reporting. Mainframe Systems: Extensive knowledge of Mainframe Systems architecture, operation, and maintenance. Cloud Computing: Familiarity with GCP (Google Cloud Platform) and its services. Information Management: Experience with IMS (Information Management System) for database management and application development. Analytical Skills: Strong Analytical Skills to interpret data, identify trends, and draw meaningful conclusions. Problem-Solving Skills: Exceptional Problem-Solving Skills to diagnose and resolve complex technical issues efficiently. Communication Skills: Excellent Communication Skills , both written and verbal, to effectively collaborate with team members and stakeholders. User Interface (UI): Understanding of User Interface principles and best practices. APIs: Experience with APIs (Application Programming Interfaces) for integration and data exchange. Microservices: Knowledge of Microservices architecture and development. Security: Familiarity with Encryption and Anonymization techniques for data security and privacy. Qualifications: A Bachelor's Degree is required. Experience Required: 4 - 4 years of relevant experience. This level of experience indicates a seasoned professional capable of working independently and contributing significantly to complex projects.

Software Engineer

RLE India Private Limited•

Chennai

•full time

Job Summary We are seeking three skilled Software Engineers to join our growing team within the IT / Technology industry. This is a fantastic opportunity for a motivated individual to contribute to innovative projects and utilize cutting-edge technologies. Key Responsibilities (No data provided for Key Responsibilities) Required Skills & Qualifications The ideal candidate will possess a strong foundation in software development principles and a proven ability to deliver high-quality solutions. The following skills and qualifications are essential: Programming Languages: Proficiency in Java is required, with a strong understanding of object-oriented programming principles. Frameworks & Technologies: Demonstrated experience with Spring Boot for building robust and scalable applications. Databases: Solid knowledge of relational databases, specifically PostgreSQL , including schema design, query optimization, and data integrity. Familiarity with NoSQL databases is also a plus. Frontend Development: Experience with Angular for building dynamic and responsive user interfaces. Cloud Computing: Practical experience with GCP (Google Cloud Platform), including deployment, scaling, and management of applications. GCP Cloud Knowledge is essential. Architectural Patterns: A deep understanding of Microfrontend Architecture and Event-Driven Architecture for designing and implementing loosely coupled, scalable systems. Software Development Practices: Commitment to Test-Driven Development (TDD) and experience with Continuous Integration and Continuous Delivery (CI/CD) pipelines. Security: Knowledge of data security best practices, including Encryption and Anonymization techniques. API Development: Experience designing, developing, and consuming APIs . Microservices: Experience building and deploying Microservices . Agile Methodologies: Proven ability to work effectively within an Agile development environment. Analytical Skills: Exceptional Analytical Skills to analyze complex problems and develop effective solutions. Problem-Solving Skills: Strong Problem-Solving Skills to identify, troubleshoot, and resolve technical challenges. Communication Skills: Excellent Communication Skills to effectively communicate technical concepts to both technical and non-technical audiences. Qualifications: A Bachelor's Degree is required. Experience Required: 6 - 6 years of professional software development experience. This level of experience indicates a senior-level expectation, including the ability to mentor junior engineers and contribute to architectural decisions.

Azure Cloud & Data ETL Developer

SACHA Engineering•

Bengaluru

•full time

Job Summary We are seeking a skilled and experienced Azure Cloud & Data ETL Developer to join our dynamic IT / Technology team. This is a hybrid role, offering a blend of remote work and in-office collaboration. The ideal candidate will possess a strong background in data engineering, cloud technologies, and ETL/ELT development, with a focus on the Azure ecosystem. Key Responsibilities The Azure Cloud & Data ETL Developer will be responsible for designing, developing, and maintaining robust and scalable data pipelines and solutions within the Azure cloud environment. This includes data ingestion, transformation, and loading processes, ensuring data quality, and adhering to data governance principles. The role also involves collaborating with cross-functional teams to understand data requirements and deliver effective solutions. Required Skills & Qualifications Azure Data Services: Demonstrated proficiency in utilizing various Azure data services, including Azure Data Factory (ADF) , Azure Databricks , and Azure Synapse Analytics , to build and manage data pipelines. ETL Development: Extensive experience in ETL (Extract, Transform, Load) and ELT (Extract, Load, Transform) development, including designing and implementing data integration solutions. Hybrid Data Architectures: A strong understanding of hybrid data architectures , enabling seamless data flow between on-premises and cloud environments. Cloud Migration: Experience in migrating data and applications to the Azure cloud platform. Data Engineering: Solid foundation in Data Engineering principles and practices. Data Modeling: Expertise in data modeling techniques, including the design and implementation of star schemas and snowflake schemas . Data Warehousing Concepts: A thorough understanding of data warehousing concepts and best practices. Programming Languages: Proficiency in Python and PySpark for data manipulation and processing. Data Ingestion & Integration: Experience with data ingestion and data integration processes, ensuring data accuracy and consistency. Data Quality & Governance: Knowledge of data quality and data governance principles and practices. DevOps & CI/CD: Experience with DevOps practices, including CI/CD (Continuous Integration/Continuous Delivery) pipelines, utilizing tools like Azure DevOps and GitHub Actions . Agile Methodology: Familiarity with Agile development methodologies. Performance Tuning & Indexing: Ability to perform performance tuning and indexing to optimize data query performance. Data Validation: Experience in implementing data validation processes to ensure data integrity. Azure Data Lake Storage (ADLS): Experience working with Azure Data Lake Storage (ADLS) . Communication Skills: Excellent communication skills , both written and verbal, to effectively collaborate with stakeholders. Problem-Solving Skills: Strong problem-solving skills to identify and resolve data-related issues. Gemini AI: Familiarity with Gemini AI and its applications in data processing. Experience Required: 6 - 10 years of relevant experience in data engineering and cloud development. This level of seniority requires a proven track record of designing and implementing complex data solutions, leading projects, and mentoring junior team members. What We Offer Salary: 18 LPA