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Data Engineer
Data EngineerOne Tapp Consulting • bhopal, madhya pradesh, in
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Data Engineer

Data Engineer

One Tapp Consulting • bhopal, madhya pradesh, in
6 days ago
Job description

Location - Bengaluru

Experience : 2+ years

Key Responsibilities :

  • Design and Development : Design, build, and maintain robust, scalable, and optimized ETL / ELT

data

pipelines using Python and standard data warehousing principles.

  • Data Platform Management : Implement and manage data processing jobs and workflows within
  • the

    Databricks platform, leveraging Spark (PySpark) for large-scale data transformation.

  • Data Modeling and Querying : Develop complex and efficient SQL queries, stored procedures,
  • and

    optimize database performance; contribute to the design and implementation of dimensional

    and

    relational data models.

  • Code Quality and Automation : Ensure high standards of code quality, testing, and
  • documentation;

    implement CI / CD practices and automation for data workflows.

  • Collaboration : Work closely with Data Scientists, Analysts, and other software engineers to
  • understand data requirements and deliver solutions that meet business needs.

  • Monitoring and Optimization : Monitor data pipeline performance, troubleshoot issues, and
  • implement necessary optimizations to ensure data accuracy and timely delivery.

    Required Qualifications

  • Experience : Minimum of 2 years of professional experience in a Data Engineering, BI
  • Engineering, or

    similar role.

    Technical Expertise (Must-Haves) :

  • Expert proficiency in writing complex, optimized SQL queries and experience with various
  • relational

    databases (e.g., PostgreSQL, SQL Server, MySQL).

  • Expert proficiency in Python for data manipulation, scripting, and pipeline development
  • (experience with libraries like Pandas, NumPy is a plus).

  • Demonstrated experience and strong working knowledge of the Databricks platform, including
  • Delta Lake, Spark (PySpark), and notebook-based development.

  • Data Concepts : Solid understanding of data warehousing concepts, data modeling (e.g., Star
  • Schema,

    Snowflake Schema), and ETL / ELT processes.

  • Communication : Excellent communication and collaboration skills, with the ability to explain
  • complex technical concepts to non-technical stakeholders.

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