Data Scientist / Engineer

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)