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
Solid 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., Excellent Expectations)
Streaming (Kafka/Kinesis)
Dashboarding (Power BI/Tableau)

Disclaimer : This job posting has been aggregated from external source. Role details, content, and availability are subject to change. Applicants are advised to confirm the latest information directly on the company website before applying.

📌 Data Scientist / Engineer Warangal
🏢 Snowrelic
📍 Warangal