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    • AWS Data Engineer - Hyderabad City Taluka - GSPANN Technologies, Inc

    GSPANN Technologies, Inc
    GSPANN Technologies, Inc Hyderabad City Taluka

    1 month ago

    Default job background
    Technology / Internet
    Description

    Data Engineer Role

    We are hiring a skilled Data Engineer to design and maintain a robust data platform. You will build scalable data pipelines, integrate multiple data sources, and collaborate with teams to deliver effective data solutions.

    Proficiency in SQL, Python, AWS data pipelines, and experience in the fintech industry are essential. If you're detail-oriented and enjoy simplifying tasks, this role is for you.

    You will work with our team to:

    • Design, develop, and maintain a data platform that is accurate, secure, available, and fast.
    • Engineer efficient, adaptable, and scalable data pipelines to process data.
    • Integrate and maintain diverse data sources, including databases, APIs, SaaS, files, logs, and events.
    • Create standardized datasets to support a wide variety of use cases.
    • Develop subject-matter expertise in tables, systems, and processes.
    • Partner with product and engineering teams to ensure product changes integrate well with the data platform.
    • Collaborate with diverse stakeholder teams to understand their challenges and provide data solutions to meet their goals.
    • Perform data quality checks and automate quality control processes.

    The ideal candidate will have:

    • At least 5+ years of experience as a Data Engineer.
    • Hands-on experience with Star/Snowflake schema design, data modeling, data pipelining, and MLOps.
    • Experience with Data Warehouse technologies (e.g., Snowflake, AWS Redshift).
    • Experience with AWS data pipelines (Lambda, AWS Glue, Step Functions, etc.).
    • Experience in the fintech or financial services industry.
    • Proficiency in SQL and at least one major programming language like Python or Java.
    • Experience with data analysis tools such as Looker or Tableau.
    • Familiarity with Pandas, Numpy, Scikit-learn, Jupyter notebooks, Git, GitHub, and JIRA.
    • Attention to detail to identify and resolve data quality issues.
    • Ability to simplify, automate tasks, and build reusable components, applying good judgment in adopting new technologies.
    • End-to-end data platform support experience.
    • Strong relationship-building skills with analysts, business, and engineering stakeholders.
    • Ability to work independently, prioritize tasks, and break down complex problems into actionable steps.
    • Familiarity with agile methodologies.
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