- Design, build, and maintain real-time data streaming and ETL pipelines.

- Robust hands-on experience with Spark, PySpark, Hive, SQL, Python, and RDBMS.

- Experience with Azure Cloud and Databricks for data engineering and analytics workloads.

- Build and optimize data pipelines using Spark, SQL, and Python, including SQL query tuning.

- Minimum 2 years of hands-on experience in Machine Learning, including data preparation, feature engineering, model development, and ML pipelines.

- Exposure to integrating data pipelines with Machine Learning models and ML workflows.

- Experience with Unix/Linux shell scripting.

- Knowledge of Kafka, Kubernetes, CI/CD, and cloud platforms such as Azure/AWS/GCP is an advantage.

- Follow data integration best practices and ensure data quality and integrity.

- Collaborate with QA teams on system integration testing and support Agile delivery.

- Deploy and maintain ETL/data pipeline code and contribute to task planning and team coordination.

📌 Data Engineer with ML (Chennai)
🏢 Blackstraw Technologies
📍 Chennai