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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.
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)
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:
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 :
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