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An Azure Data Engineer in Chennai responsible for data pipelines using Azure Data Factory, Databricks, Python, and PySpark. The role involves ETL processes, SQL tuning, and data warehousing concepts.
Design, build, and maintain data transformation pipelines using AWS services, Python, PySpark, and Databricks. Manage large datasets and databases like PostgreSQL or MongoDB while participating in code reviews and deployment processes.
This role involves designing and building data pipeline architectures (ETL/ELT) using SQL, AWS, and Azure, managing data models, and creating executive dashboards to support business insights and data infrastructure needs.
Design and implement highly performant data pipelines and data warehouses using Azure services like Data Factory, Databricks, and SQL Data Warehouse. The role requires 6-10 years of experience in Azure integration and data engineering within an agile delivery team.
Hybrid role designing and building the web and mobile experience for a talent marketplace. You will handle end-to-end product design in Figma and translate it into responsive frontend code using HTML, CSS, and JavaScript.
Responsible for establishing cloud connectivity, designing ETL processes, and managing large SQL data marts and database performance using Azure Data Factory, Databricks, and Python.
This role involves building and maintaining reliable data pipelines and ETL processes using AWS services like EMR, Glue, and S3. The engineer will handle CI/CD deployments, monitoring, and data quality testing to ensure accuracy.
Design and build large-scale distributed data systems and platforms using Apache Spark, Kafka, and Flink, with Python as the primary language and Kubernetes/Docker/Terraform for infrastructure.
Build scalable data pipelines and ETL processes on Google Cloud Platform using Python and Apache Beam.
Design and maintain scalable data pipelines and DBT models using Databricks and PySpark. Orchestrate workflows with Airflow to support analytics and machine learning initiatives.
Role involves writing and tuning advanced SQL code, managing relational databases like MySQL or AWS Redshift, and supporting healthcare risk modelling platforms. Requires deep analytical skills and experience with query performance optimization.
Build and maintain data ingest pipelines from marketing sources to a Postgres event store and Metabase reporting layer for a medical slimming network. Tech stack: Python, SQL, PostgreSQL, Git.
Design and maintain ETL/ELT pipelines and Lakehouse architectures using SQL and Python, while integrating GenAI, RAG, and LangChain frameworks into data workflows.
Lead data engineer designing and operating production pipelines on AWS/Databricks using Python/Java, Spark, dbt, and Airflow, focusing on governance, security, and large-scale data processing.
Build and maintain scalable data pipelines using Databricks, PySpark, and Azure Data Factory, optimizing data models and performance for a remote role based in India.
Hands-on Data Engineer designing scalable data pipelines and platforms using Python, SQL, PySpark, and Databricks. The role involves ETL/ELT, cloud integration (AWS/Azure/GCP), and implementing Lakehouse architectures for data processing.
Backend Developer role building and consuming SOAP/REST web services for financial applications. Involves working with Pivotal Cloud Foundry, MySQL, Splunk, and Dev AI tools like GitHub Copilot.
Senior Scala Backend Developer at TCS India with 6-8 years experience, building backend systems using Scala and AWS technologies.
Develops and maintains scalable Python/Django backend applications and REST APIs, manages PostgreSQL/MySQL databases, and implements authentication and performance optimization.
Build core database and REST API layers for a nonprofit animal rescue platform using Node.js, Django, or Flask with full ownership of architecture.
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