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)