Azure Data Engineering Jobs

Platform Engineering Engineer 3

SACHA Engineering•

Chennai

•full time

Job Summary We are seeking a highly skilled and motivated Platform Engineering Engineer 3 to join our growing team. This role will be instrumental in building and maintaining our platform, ensuring its reliability, scalability, and security. The ideal candidate will possess a strong understanding of cloud technologies, infrastructure automation, and distributed systems. This is a hybrid role. Key Responsibilities The Platform Engineering Engineer 3 will be responsible for designing, building, and maintaining robust and scalable platform infrastructure. This includes automating infrastructure deployments, monitoring system performance, and troubleshooting issues to ensure high availability and optimal performance. The role requires a proactive approach to identifying and resolving potential problems before they impact users. Required Skills & Qualifications Programming Languages: Proficiency in Java , Python , and Go is essential. Experience with Bash scripting for automation and system administration tasks is also required. Cloud Platforms: Demonstrated experience with cloud platforms including AWS , GCP , and Azure . Containerization & Orchestration: Strong understanding and practical experience with Docker and Kubernetes for containerization and orchestration. Monitoring & Observability: Expertise in using monitoring and observability tools such a Prometheus , Grafana , ELK , OpenSearch , Datadog , OpenTelemetry , Jaeger , and Zipkin . Networking Fundamentals: Solid understanding of networking concepts including DNS , LB , TCP/IP , VPC/subnet design , and Security groups . Security & Compliance: Experience with IAM , Secrets Management using tools like Vault and KMS , and implementing Patching and Vuln Scanning procedures. Platform Reliability & Performance: A focus on Platform Availability and a proven ability to perform Runtime Performance Tuning . Infrastructure Automation: Expertise in Infrastructure as Code ( IaC ) principles and tools. Continuous Integration & Continuous Delivery: Experience with CI/CD pipelines and automation. Cloud Architecture: Ability to design and implement Cloud Architecture solutions. Site Reliability Engineering (SRE): Familiarity with SRE principles and practices. Runtime Optimization: Ability to perform Runtime Optimization for distributed systems. Distributed Systems: Experience with Distributed Backend Systems . AI-augmented Platform Operations: Experience with AI-augmented Platform Operations . Analytical Skills: Strong Analytical Skills for problem-solving and data-driven decision-making. Problem-Solving Skills: Excellent Problem-Solving Skills to quickly identify and resolve issues. Communication Skills: Effective Communication Skills to collaborate with cross-functional teams. Any Degree is required. 6 - None years of experience are required. This indicates a mid-level seniority with expectations of independent work and mentorship of junior team members. What We Offer We offer a competitive compensation package.

Safe Release Train Engineer

RLE India Private Limited•

Pune

•full time

Job Summary We are seeking a skilled and experienced Safe Release Train Engineer to join our growing IT / Technology team in Pune. This role is critical to the successful delivery of our Agile initiatives and requires a strong understanding of SAFe principles and practices. The ideal candidate will possess a blend of technical expertise, strong communication skills, and a proven ability to facilitate and drive continuous improvement. Key Responsibilities The Safe Release Train Engineer will be responsible for facilitating events and driving execution of the Program Increment (PI) plans. This includes ensuring that Agile teams are aligned, dependencies are managed effectively, and risks are mitigated proactively. The role will also involve collaborating with stakeholders at all levels to ensure transparency and alignment on program goals and progress. Required Skills & Qualifications Agile Expertise: Demonstrated proficiency in Agile methodologies, including a deep understanding of Scrum and Kanban principles. SAFe Framework: Extensive knowledge and practical experience applying the SAFe framework to large-scale Agile development efforts. Program Management: Proven ability to manage programs effectively, including defining scope, timelines, and resources. Stakeholder Management: Excellent interpersonal and communication skills, with the ability to build and maintain strong relationships with stakeholders at all levels. Executive Communication: Ability to communicate complex technical information clearly and concisely to executive audiences. Facilitation: Strong facilitation skills, with the ability to lead meetings and workshops effectively. Conflict Resolution: Ability to mediate and resolve conflicts constructively. Data Analysis: Ability to analyze data and identify trends to inform decision-making. Continuous Improvement: A passion for continuous improvement and a commitment to driving positive change. Agile Lifecycle Management: Comprehensive understanding of the Agile software development lifecycle. Azure DevOps : Experience using Azure DevOps for Agile project management and collaboration. Jira : Proficiency in using Jira for issue tracking, project management, and reporting. Power BI : Ability to leverage Power BI for data visualization and reporting. Release Train Engineer : Deep understanding of the role and responsibilities of a Release Train Engineer within the SAFe framework. Program Execution Leadership: Ability to provide leadership and guidance to program teams. Delivery Plans: Experience creating and managing delivery plans. Dependency Management: Ability to identify, track, and resolve dependencies effectively. Risk Management: Ability to identify, assess, and mitigate risks proactively. Agile Delivery: Proven track record of successfully delivering Agile projects. Agile Maturity: Ability to assess and improve Agile maturity within an organization. Operational Efficiency: Focus on improving operational efficiency through Agile practices. PI Review: Experience facilitating and participating in Program Increment (PI) reviews. Agile Transformation Initiatives: Experience supporting and driving Agile transformation initiatives. Distributed Engineering Teams: Experience working with and supporting distributed engineering teams. Education : Bachelor’s degree in engineering, computer science, or a related discipline. Experience : 8-9 years of relevant experience in a related field. This level of experience indicates a seasoned professional capable of independently managing complex projects and mentoring junior team members. What We Offer Salary : Not Disclosed

AI Build Engineer

RLE India Private Limited•

Bengaluru

+2 More

Other Locations2 cities

Chennai

Hyderabad

•full time

Job Summary We are seeking a skilled and experienced AI Build Engineer to join our dynamic team. This role will be responsible for building and deploying cutting-edge AI solutions, leveraging a variety of technologies and methodologies. The ideal candidate will possess a strong foundation in software engineering principles and a passion for AI innovation. Key Responsibilities The AI Build Engineer will be responsible for the design, development, and implementation of AI applications. This includes collaborating with cross-functional teams to define requirements, designing and building robust and scalable AI solutions, and ensuring the quality and reliability of deployed AI models. The role also involves continuous monitoring and optimization of AI systems to ensure peak performance and alignment with business objectives. Required Skills & Qualifications Programming Languages: Proficiency in multiple programming languages including Python , JavaScript , TypeScript , and C# . This includes the ability to write clean, efficient, and well-documented code. Large Language Models (LLMs): A strong understanding of LLMs and their application in various use cases. Retrieval-Augmented Generation (RAG): Experience with RAG techniques to enhance the capabilities of LLMs . Prompt Engineering: Expertise in Prompt Engineering to design effective prompts for LLMs . Vector Databases: Familiarity with Vector Databases and their use in storing and retrieving vector embeddings. Agentic AI: Knowledge of Agentic AI principles and their application in building autonomous agents. Cloud Platforms: Experience with cloud platforms such as Azure and AWS , including Azure AI Services , Azure OpenAI , AWS Bedrock , and Vertex AI . Containerization & Orchestration: Proficiency in Docker and Kubernetes for containerizing and orchestrating AI applications. DevOps & CI/CD: Experience with DevOps practices and CI/CD pipelines using tools like GitHub Actions and Azure DevOps . MLOps: Understanding of MLOps principles and best practices for managing the ML lifecycle. AI Application Integration: Ability to integrate AI applications into existing systems and workflows. Testing & Monitoring: Experience with AI-infused testing , Monitoring , and Observability tools and techniques. Governance: Understanding of Governance principles related to AI systems. API & Microservices: Experience with API development and Microservices architectures. Additional Skills: Familiarity with MCP , Playwright , and AI copilots . Qualifications: Possession of AI/Cloud certifications such as Azure AI Engineer or AWS ML is highly desirable. Experience Required: We are seeking candidates with 5-10 years of relevant experience in software engineering and AI development. This level of experience should demonstrate a proven ability to design, build, and deploy complex AI solutions in a production environment. What We Offer The role is onsite .

AI Build Engineer (GenAI / Agentic AI / AI Automation)

RLE India Private Limited•

Bengaluru

+2 More

Other Locations2 cities

Chennai

Hyderabad

•Full-time

Job Summary We are seeking a skilled and experienced AI Build Engineer to join our growing team. This role will focus on the development and implementation of cutting-edge AI solutions, specifically within the realms of GenAI , Agentic AI , and AI Automation . The ideal candidate will possess a strong foundation in software engineering principles and a passion for leveraging AI to solve complex business challenges. This position is located in Bengaluru, Chennai, or Hyderabad. Key Responsibilities The AI Build Engineer will be responsible for designing, building, and deploying AI -powered applications and systems. This includes collaborating with cross-functional teams to define requirements, developing robust and scalable solutions, and ensuring the ongoing performance and reliability of deployed systems. The role demands a proactive approach to problem-solving and a commitment to delivering high-quality AI solutions. Required Skills & Qualifications Programming Languages: Proficiency in multiple programming languages is essential, including Python , JavaScript , TypeScript , and C# . Experience should demonstrate the ability to write clean, efficient, and well-documented code. Large Language Models (LLMs): A strong understanding of LLMs and their application in various use cases. Retrieval Augmented Generation (RAG): Experience implementing RAG architectures to enhance LLM capabilities with external knowledge sources. Prompt Engineering: Expertise in crafting effective prompts to elicit desired responses from LLMs . Vector Databases: Familiarity with vector databases and their use in storing and querying vector embeddings. Agentic AI: Experience in developing and deploying Agentic AI systems, leveraging autonomous agents to perform complex tasks. Model Context Protocol (MCP): Understanding of MCP and its role in managing AI model context. Testing & Automation: Experience with Playwright and AI-infused testing solutions to ensure the quality and reliability of AI systems. Frameworks & Libraries: Proficiency in utilizing frameworks and libraries such as LangChain and LangGraph for building LLM -powered applications. Cloud Platforms: Experience with Azure OpenAI , AWS Bedrock , and Vertex AI for developing and deploying AI models. Containerization & Orchestration: Solid understanding of Docker and Kubernetes for containerizing and orchestrating AI applications. DevOps & CI/CD: Experience with GitHub Actions and Azure DevOps for implementing CI/CD pipelines. MLOps: Knowledge of MLOps principles and practices for managing the entire ML lifecycle. AI Copilots: Familiarity with AI copilots and their integration into development workflows. Autonomous Agents: Experience in designing and implementing autonomous agents for various tasks. API & Microservices: Experience designing and building APIs and microservices for AI applications. Infrastructure: Understanding of monitoring , observability , and governance best practices for AI systems. Security: Commitment to building secure and responsible AI solutions. Analytical & Problem-Solving Skills: Strong analytical skills and problem-solving skills to effectively troubleshoot and resolve issues. Communication Skills: Excellent communication skills to effectively collaborate with cross-functional teams. Experience Required: 5 - 10 years of experience in software engineering with a focus on AI development. This level of experience is expected to demonstrate a proven ability to design, build, and deploy complex AI systems. The candidate should be comfortable working independently and as part of a team, and possess a strong understanding of software development best practices. Qualifications: AI/Cloud certifications ( Azure AI Engineer , AWS ML , etc.) are preferred. What We Offer Salary:

AI Build Engineer

RLE India Private Limited•

Bengaluru

+2 More

Other Locations2 cities

Chennai

Hyderabad

•full time

Job Summary We are seeking a skilled and motivated AI Build Engineer to join our growing team. This role will focus on building, deploying, and maintaining robust and scalable AI solutions. The ideal candidate will possess a strong foundation in software engineering principles and a passion for leveraging cutting-edge AI technologies. Key Responsibilities The AI Build Engineer will be responsible for the following: Developing and implementing AI models and applications using various programming languages and frameworks. Building and maintaining robust CI/CD pipelines for automated testing, building, and deployment of AI models. Ensuring the quality and reliability of AI solutions through rigorous testing and monitoring . Collaborating with cross-functional teams to define, design, and ship new features. Implementing and maintaining governance policies for AI models. Required Skills & Qualifications To be successful in this role, candidates must possess the following skills and qualifications: Proficiency in programming languages including Python , JavaScript , TypeScript , and C# . Experience with large language models ( LLMs ) and related techniques such as RAG (Retrieval Augmented Generation) and Prompt Engineering . Solid understanding of vector databases and their application in AI systems. Familiarity with Agentic AI concepts and implementation. Experience with Model Context Protocol (MCP) . Experience with testing frameworks such as Playwright . Experience with frameworks such as LangChain and LangGraph . Experience with cloud-based AI services including Azure OpenAI , AWS Bedrock , and Azure AI Services , and Vertex AI . Strong experience with containerization technologies such as Docker and orchestration platforms like Kubernetes . Experience with version control systems such as GitHub Actions and Azure DevOps . Knowledge of MLOps principles and practices. Familiarity with AI copilots and Autonomous agents . Experience with AI-infused testing solutions . Understanding of API design and development. Experience building Microservices architectures. Strong Analytical Skills , Problem-Solving Skills , and Communication Skills . Experience Required: 5 - 10 years of experience in software engineering with a focus on AI/ML. This level of experience indicates a seasoned professional capable of independently designing, developing, and deploying complex AI solutions. The candidate should be comfortable working in a fast-paced environment and collaborating with a diverse team of engineers and researchers. What We Offer Salary:

Integration Functional Analyst

SACHA Engineering•

Pune

•full time

Job Summary We are seeking a skilled and experienced Integration Functional Analyst to join our dynamic team. This role will be instrumental in ensuring the seamless integration of various systems and data flows within our IT environment. The ideal candidate will possess a strong analytical mindset, excellent communication skills, and a proven ability to troubleshoot complex integration issues. This is a hybrid role requiring a balance of remote and in-office work. Key Responsibilities The Integration Functional Analyst will be responsible for analyzing, designing, and implementing integration solutions. This includes mapping data sources, identifying and resolving integration issues, and collaborating with cross-functional teams to ensure successful project delivery. Required Skills & Qualifications APIs : Demonstrated proficiency in working with Application Programming Interfaces (APIs) to facilitate data exchange between systems. REST : Solid understanding of Representational State Transfer (REST) architectural style for building and consuming APIs. SOAP : Experience with Simple Object Access Protocol (SOAP) for web services integration. JSON : Ability to work with JavaScript Object Notation (JSON) data format for data exchange. XML : Familiarity with Extensible Markup Language (XML) for data representation and integration. ESB : Knowledge of Enterprise Service Bus (ESB) concepts and experience with ESB platforms. Middleware : Understanding of middleware technologies and their role in integration processes. SQL : Strong proficiency in Structured Query Language (SQL) for data retrieval and manipulation. MuleSoft : Experience with MuleSoft Anypoint Platform for integration development and deployment. SAP CPI : Familiarity with SAP CPI (Cloud Platform Integration) for cloud-based integration scenarios. Dell Boomi : Experience with Dell Boomi for integration platform as a service (iPaaS) solutions. Process Mapping : Ability to create and maintain process maps to visually represent integration workflows. Source-to-target data mapping : Skill in defining and implementing accurate source-to-target data mappings for seamless data integration. Root-cause troubleshooting : Proven ability to identify and resolve the root cause of complex integration issues. Agile : Experience working within an Agile development framework. Scrum : Familiarity with Scrum methodologies for iterative development and project management. Jira : Proficiency in using Jira for issue tracking and project management. Azure DevOps : Experience with Azure DevOps for continuous integration and continuous delivery (CI/CD). Interpersonal Skills : Excellent interpersonal skills to effectively collaborate with stakeholders and team members. Analytical Skills : Strong analytical skills to analyze complex data and integration scenarios. Problem-Solving Skills : Demonstrated problem-solving skills to identify and resolve integration challenges. Communication Skills : Exceptional written and verbal communication skills to clearly convey technical information. Any Degree : A Bachelor's degree or equivalent is required. Experience Required: 8 - 15 years of relevant experience. This level of experience indicates a senior-level role requiring a high degree of autonomy and expertise in integration technologies. The candidate should be able to lead integration projects and mentor junior team members. What We Offer Salary: 30 LPA

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

Data Engineer-PowerBi

SACHA Engineering•

Pune

•full time

Job Summary We are seeking an experienced Data Engineer with a specialization in Power BI to join our team in a hybrid work mode. As a Data Engineer - Power BI, you will be responsible for designing, developing, and maintaining large-scale data systems that enable business intelligence and data-driven decision-making. With a strong background in Azure Data Engineering and Power BI, you will play a critical role in shaping our data infrastructure and analytics capabilities. The ideal candidate will have a deep understanding of data engineering principles, expertise in Azure Data Factory, Azure Databricks, and Power BI, and a strong proficiency in DAX. With 7-12 years of experience in the field, you will be able to leverage your technical expertise to drive business growth and improvement through data-driven insights. Key Responsibilities Design, develop, and maintain large-scale data systems using Azure Data Engineering, Azure Data Factory, and Azure Databricks. Develop and maintain complex data models and reports using Power BI. Create and optimize DAX queries to support business intelligence and data analysis. Collaborate with stakeholders to understand business requirements and develop data-driven solutions. Ensure data quality, integrity, and security across the organization. Troubleshoot and resolve data-related issues in a timely and efficient manner. Required Skills & Qualifications The ideal candidate will possess a B Tech degree and have a strong foundation in the following skills: Azure Data Engineering : Experience with designing and implementing data engineering solutions using Azure technologies. Azure Data Factory : Proficiency in using Azure Data Factory for data integration and workflow orchestration. Azure Databricks : Experience with Azure Databricks for big data processing and analytics. Power BI : Strong expertise in developing and maintaining Power BI reports and dashboards. DAX : Proficiency in writing efficient and effective DAX queries for data analysis and visualization. What We Offer A competitive salary range of 2000000 - 2700000 is offered for this role, commensurate with experience.