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

    GSPANN Technologies, Inc
    GSPANN Technologies, Inc Hyderabad City Taluka

    1 month ago

    Default job background
    Technology / Internet
    Description

    Big Data, AWS, Redshift, Snowflake, SQL, Python, PySpark

    Description

    GSPANN seeks Data Engineers with expertise in Amazon Web Services (AWS) to design and develop accurate, secure, available, and fast data platforms.

    The role fosters individual initiative and excellence in a global workforce.

    Key Responsibilities

    • Design and maintain data platforms that meet business needs.
    • Integrate various data sources, including databases, APIs, SAASs, files, logs, events, etc.
    • Create standardized datasets for diverse use cases.
    • Develop subject-matter expertise in tables, systems, and processes.
    • Collaborate with product and engineering teams to ensure seamless integration of product changes with the data platform.
    • Partner with diverse stakeholder teams to provide data solutions meeting their goals.
    • Perform data quality checks on data sources and automate quality control processes.

    Requirements

    • 6+ 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).
    • Expertise in AWS data pipelines (Lambda, AWS Glue, Step Functions, etc.).
    • Fintech or Financial services industry experience is advantageous.
    • Proficiency in SQL and at least one major programming language like Python or Java.
    • Experience with Data Analysis Tools such as Looker or Tableau.
    • Good understanding of Pandas, Numpy, Scikit-learn, and Jupyter notebooks; familiarity with Git, GitHub, and Jira.
    • Attention to detail in identifying and resolving data quality issues.
    • Ability to simplify, automate tasks, and build reusable components.
    • End-to-end data platform support experience.
    • Strong relationship-building skills with analysts, business, and engineering stakeholders.
    • Ability to prioritize, break down ambiguous problems, and execute tasks effectively.
    • Familiarity with agile methodologies.

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