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Job Description
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
- 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
- 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)
- Airflow / CI/CD experience
- Data quality tools (e.g., Great Expectations)
- Streaming (Kafka/Kinesis)
- Dashboarding (Power BI/Tableau)
Skills
Advanced AnalyticsPythonDashboardingEtlSnowflakeData ScientistData EngineerAnalyticsMlSqlIf a job posting appears fraudulent, asks for payment, contains misleading information, or violates our guidelines, please report it immediately. Our team will review it promptly, Jobaaj does not charge any fee from the applicants.
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