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