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    • Data Engineer - Ranchi - HiPaaS Inc.

    HiPaaS Inc.
    HiPaaS Inc. Ranchi

    3 weeks ago

    Default job background
    Description

    About the Role

    We're seeking a skilled Data Engineer to contribute to our dynamic team. You'll work on impactful projects like foundational data tables, ETL frameworks, and data lineage, collaborating with cross-functional teams to drive data quality, accessibility, and innovation.

    Key Responsibilities:

    • Develop and Maintain Foundational Data Tables

      • Design and implement foundational data tables to support critical business objectives and new features.

    • Build and Enhance Self-Serve ETL Frameworks

      • Create and optimize ETL frameworks for both streaming and batch processes to facilitate accessible, high-quality data.

    • Migrate and Validate Test Tables

      • Collaborate with analytics partners to migrate test tables into the data foundation, ensuring accuracy, quality, and optimization.

    • Integrate Schema Registry and Establish Data Lineage

      • Integrate schema registries into ETL workflows and set up data lineage across various data domains, ensuring consistency and clarity in data management.

    Qualifications:

    • Experience: 5+ years of experience building production-grade data pipelines and transforming data into governed, actionable datasets.
    • Technical Skills: Proficiency in SQL, Spark, AWS Glue, Python, and hands-on experience with MPP databases like Snowflake, AWS Redshift, or Teradata.
    • Collaboration Skills: Proven experience working effectively with analytics, data science, and DevOps teams, ensuring alignment across data initiatives.
    • Data Governance Knowledge: Strong understanding of data governance principles, pipeline metrics, and building solutions for data visibility and monitoring.

    Why Work at Hipaas Inc?

    Our company offers:

    • Innovative Projects: Work on high-impact projects in a fast-paced, collaborative environment where your contributions will directly support key business decisions.
    • Professional Growth: Opportunity to hone your technical skills and grow your career in a supportive, innovative team setting.
    • Dynamic Team Environment: Join a team of data professionals dedicated to driving data quality and accessibility through cutting-edge solutions.
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