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    Job · 20019328

    HYDERABAD · FULLTIME

    Snowflake Data Engineer

    PalTech logo

    PalTech

    Hyderabad · onsite · Posted 20d ago

    Sourced fromNaukri
    Undisclosed2–7 yrsfulltimeHyderabad

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    Section · 01

    About this role

    Key Responsibilities:
      • Design and implement scalable data models using Snowflake to support business intelligence and analytics solutions.
      • Implement ETL/ELT solutions that involve complex business transformations.
      • Handle end-to-end Data warehousing solutions
      • Migrate the data from legacy systems to Snowflake systems
      • Write complex SQL queries for extracting, transforming, and loading data, ensuring high performance and accuracy.
      • Optimize the SnowSQL queries for better processing speeds
      • Integrate Snowflake with 3 rd party applications
      • Use any ETL/ELT technology
      • Implement data security policies, including user access control and data masking, to maintain compliance with organizational standards.
      • Document solutions and data flows.

    Skills Qualifications:

    Experience:

      • 2+ years of experience in data engineering, with a focus on Snowflake.
      • Proficient in SQL and Snowflake-specific SQL functions.
      • Experience with ETL/ELT tools and cloud data integrations.

    Technical Skills:

      • Strong understanding of Snowflake architecture, features, and best practices.
      • Experience in using Snowpark, Snowpipe, Streamlit
      • Experience in using Dynamic tables is good to have
      • Familiarity with cloud platforms (AWS, Azure, or GCP) and other cloud-based data technologies.
      • Experience with data modeling concepts like star schema, snowflake schema, and data partitioning.
      • Experience with Snowflake s Time Travel, Streams, and Tasks features
      • Experience in data pipeline orchestration using tools like Airflow or Prefect.
      • Knowledge of Python or Java for scripting and automation.
      • Experience with data visualization tools like Tableau, Power BI, or Looker
      • Knowledge of Snowflake pipelines is good to have
      • Knowledge of data governance practices, including security, compliance, and data lineage.



    Disclaimer: This job posting has been aggregated from external source. Role details, content, and availability are subject to change. Applicants are advised to confirm the latest information directly on the company website before applying.

    Sourced from naukri

    Section · 02

    Skills

    Automationschemagoogle cloud platformAnalyticsPythonSQLData SecurityData VisualizationData ModelingBusiness Intelligence

    Section · Company

    About PalTech

    PalTech logo

    PalTech

    IT Services & Consulting

    700

    employees

    Hyderabad / Secunderabad, Telangana

    India

    ₹11.2L PA avg

    Avg at PalTech

    About

    PalTech is a global IT consulting firm engineering intelligent, future-ready solutions that help businesses thrive in a fast-changing world. From AI-powered innovations and data-driven platforms to digitally native products, everything we build is designed to push the boundaries of what’s possible and create real-world impact.


    What sets PalTech apart is not just what we build, but how we build it, and who we build it with.

    Our culture is rooted in collaboration, ownership, and continuous learning. We create an environment where people are trusted with responsibility, encouraged to think deeply, and supported in growing their skills alongside the solutions they create. Through structured learning, meaningful work, and exposure to cutting-edge technologies, our teams continuously evolve, personally and professionally.


    Through Aikyam, our social impact initiative, we also extend our sense of purpose beyond business, contributing to communities and causes that matter.


    At PalTech, you won’t just build technology for today. You’ll help shape what’s next, while growing in a culture that values people, learning, and impact.

    Industries

    IT Services & Consulting

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    4.5

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    4.2

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