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)
- 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)

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.

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