Senior Manager - Data Engineer - KPO

- Design, develop, and maintain data pipelines independently to enable faster business analysis.

- Develop optimal queries leveraging Big Query to extract data out of Google Cloud Platform for the development of statistical models.

- Solve complex SQL and Big Data Performance challenges

- Utilize Python / PySpark / Scala or Java to analyze large-scale datasets in batch and real-time.

- Translate complex business logic into optimum feature engineering pipelines for real time processing on large amount of data

Qualifications:

- 2+ years of experience as a Data or BI Engineer dealing with large complex data scenarios.

- Hands-on in using SQL & Query performance tuning skills.

- Coding proficiency in at least one modern programming language (Python is preferred)

- Knowledge of Google Big Query (would be an added plus, but not mandatory). Should be comfortable with writing advanced SQL queries.

- Prior Experience with Big Data Technologies (Hadoop, Hive, Hbase, Pig, Spark, etc.)

- Prior experience of working with media streaming data (good to have but not mandatory)