graas | Hiring | Data Engineer | Pune, Maharashtra, India | BigDataKB.com | 2022-09-28

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Job Location: Pune, Maharashtra, India

Roles & Responsibilities:

  • Work on implementation of real-time and batch data pipelines for disparate data sources.
  • Build the infrastructure required for optimal extraction, transformation, and loading of data from a wide variety of data sources using SQL and AWS technologies.
  • Build and maintain an analytics layer that utilizes the underlying data to generate dashboards and provide actionable insights.
  • Identify improvement areas in the current data system and implement optimizations.
  • Work on specific areas of data governance including metadata management and data quality management.
  • Participate in discussions with Product Management and Business stakeholders to understand functional requirements and interact with other cross-functional teams as needed to develop, test, and release features.
  • Develop Proof-of-Concepts to validate new technology solutions or advancements.
  • Work in an Agile Scrum team and help with planning, scoping and creation of technical solutions for the new product capabilities, through to continuous delivery to production.
  • Work on building intelligent systems using various AI/ML algorithms.

Desired Experience/Skill:

  • Must have worked on Analytics Applications involving Data Lakes, Data Warehouses and Reporting Implementations.
  • Experience with private and public cloud architectures with pros/cons.
  • Ability to write robust code in Python and SQL for data processing. Experience in libraries such as Pandas is a must; knowledge of one of the frameworks such as Django or Flask is a plus.
  • Experience in implementing data processing pipelines using AWS services: Kinesis, Lambda, Redshift/Snowflake, RDS.
  • Knowledge of Kafka, Redis is preferred
  • Experience on design and implementation of real-time and batch pipelines. Knowledge of Airflow is preferred.
  • Familiarity with machine learning frameworks (like Keras or PyTorch) and libraries (like scikit-learn)

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