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