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    Data Engineering Manager - Bengaluru, India - DigiKey Global Capability Center

    DigiKey Global Capability Center
    DigiKey Global Capability Center Bengaluru, India

    2 days ago

    Default job background
    Technology / Internet
    Description

    Data Engineering Manager is responsible for leading, hiring, developing and building data engineering team and providing them technical direction. This position ensures business objectives aligning to Data & Analytics strategy and policy are accomplished through established, implemented and executed plans & tactics. The position focuses on coaching and developing staff, communicating organization objectives and expectations, and monitoring the progress of projects and initiatives, taking appropriate action when needed.

    Responsibilities:

    • Proficiency in Python, Spark, SQL, , Snowflake
    • Prior experience supporting Data Governance initiatives desired: Data Quality, Metadata Management (Data Cataloging, Data Lineage), Master Data Management, Data Security
    • Proficiency in other software engineering languages and/or methodologies
    • Strong knowledge of working Unix Shell scripting
    • Provide ongoing support for the existing ETL processes, procedures, as well as the ability to design, code and deploy new ETL pipelines to support application and business needs.
    • Develop an effective working relationship with Data Analysts, Data Architects, Database Administrators, and others in designing, developing, and implementing robust data management solutions.
    • Demonstrate the ability to translate business rules into ETL code while adhering to best ETL development and design practices.
    • Demonstrate proficiency in SQL language, as well as working knowledge of common transformation methodologies, techniques, and tools.
    • Ability to design and build enterprise grade reuseable frameworks.

    Minimum/Essential Qualifications:

    • Bachelor of Engineering degree with 15 years of Data Engineering experience with pertinent ETL tools (e.g. DBT, Informatica, Data Stage, etc.) or big data stack
    • Lead Data Warehouse/Business Intelligence development team in building and supporting Analytical solutions.
    • Lead the design of data pipeline/ETL using emerging technologies and tools
    • Drive the team to develop operationally efficient analytic solutions
    • Design and build highly scalable data pipelines using new generation tools and technologies like AWS, Snowflake, Spark, Kafka to induct data from various systems
    • Translate complex business requirements into scalable technical solutions meeting data warehousing design standards.
    • Solid understanding of analytics needs and proactive-ness to build generic solutions to improve the efficiency
    • Lead/ work with many global teams, communicate effectively, both written and verbal, with technical and non-technical multi-functional teams
    • Should have strong ability to manage stakeholder communication & risk management
    • Thrives in a dynamic environment, maintaining composure and a positive attitude
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