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About the role
We re 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. Preferably Hyderabad Capacity 5 Days/Week, 8 Hours/day CET Hours Overlap 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) Nice to Have Airflow / CI/CD experience Data quality tools (e.g., Great Expectations) Streaming (Kafka/Kinesis) Dashboarding (Power BI/Tableau)
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