• Permanent
  • remote
  • Posted 2 weeks ago
  • Salary: Rs.as per industry
  • Exp: 7 to 15 years
  • Position: senior
  • Qualification: Any IT
  • Industry: IT


Work closely with Data Scientists on feature engineering and productionizing models to be robust and scalable

Focus on solutions that provide data analytics for omnichannel/marketing/sales domains

Identify data engineering needs for advanced analytics teams

Support the Data and Platforms Group to build foundational infrastructure, data governance, and master data management in support of analytics services

Use expertise to improve the quality of data models, data flows and data processing of data systems, reporting, analytics solutions
4+ Data Engineering Experience

Strong knowledge in Machine Learning tools such as SKLearn, Spark, Databricks, Docker, EMR, Kubernetes

Knowledge of Data Management Platforms (SQL, NoSQL, Cloud, ETL, Data warehousing)

Knowledge of ML Ops and productionization and scaling of models and managing the ML ecosystem”

Help our team to connect to and from the Data Lake environment, take over Python based data pipelines, work with the team to find and data prep for analytics.

Productionize models with Data Scientists.

Prioritized skill keywords: Python, PySpark, SKLearn, ML Software Engineering, SQL, Unix, Airflow.
       Immediate

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