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)
- Robust 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)
📌 Data Scientist / Engineer (India)
🏢 Snowrelic
📍 India
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