Senior Data Engineer - ML /Analytics

RED is now looking for a hybrid Data Engineer + Data Scientist who can build scalable data pipelines and deliver advanced analytics/ML solutions. You’ll own end‑to‑end data workflows using Spark, Databricks, Glue and Snowflake.

Job Details :

• Duration – 6 Months + Extension
• Location – Remote, India.
• Capacity – 5 Days/Week, 8 Hours/day – CET Hours
• Start – April 2026

Key Responsibilities

• Build and maintain Spark/Databricks data pipelines
• Develop ETL/ELT workflows (Glue / Databricks)
• Model and optimise data in Snowflake
• Build and deploy ML models (Python, scikit‑learn, MLflow)
• Perform feature engineering, model validation, and monitoring
• Deliver analytical insights and work closely with stakeholders
• Ensure data quality, governance and documentation

Required Skills

• Strong PySpark / Spark
• Hands‑on Databricks experience
• Advanced SQL (Snowflake preferred)
• Experience with ML modelling + deployment (MLflow)
• Strong Python and data engineering fundamentals
• Experience with large-scale data (Delta Lake / Lakehouse)
• Airflow / CI/CD experience
• Data quality tools (e.g., Great Expectations)
• Streaming (Kafka/Kinesis)
• Dashboarding (Power BI/Tableau)

If you would like to learn more about this role , please could you send me your updated CV - or share it with someone who is currently looking.

Thanks,

Nisha