Apply on Kit Job: kitjob.in/job/43gs3t

RED is now 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.

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Job Details

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- Duration – 6 Months + Extension
- Location – Remote, India.
- Capacity – 5 Days/Week, 8 Hours/day – CET Hours
- Start – April 2026

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Key Responsibilities

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- 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 n

- Robust 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)

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If you would like to learn more about this role , please could you send me your updated CV - or share it with someone who is currently looking.

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Thanks,

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Nisha

Apply on Kit Job: kitjob.in/job/43gs3t

📌 Senior Data Engineer - ML /Analytics (Nellore)
🏢 RED Global
📍 Nellore