3 - 5 years

10 - 15 Lacs

Posted:1 month ago| Platform: Naukri logo

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Job Type

Full Time

Job Description

Key Responsibilities

  • Extract, clean, and load data from various structured and unstructured sources.
  • Design, develop, and optimize

    data pipelines

    using

    Snowflake, SQL, Kafka

    , and related technologies.
  • Investigate and document new data sets for analytical and operational use cases.
  • Triage incoming

    bugs, incidents, and data issues

    , ensuring timely resolution.
  • Perform technical operations tasks to maintain data pipeline performance.
  • Troubleshoot and resolve issues related to data quality, pipeline failures, or latency.
  • Participate in

    Agile ceremonies

    sprint refinement, planning, and estimation.
  • Monitor key data flows and proactively raise awareness of potential issues.
  • Define and implement

    data quality assurance rules

    to ensure data accuracy.
  • Guide, onboard, and mentor

    Data Engineer I

    team members on technical best practices.

Required Skills and Qualifications

  • Bachelors degree in Computer Science, Information Technology, or a related discipline.
  • 3–5 years of professional experience in

    data engineering or ETL development

    .
  • Strong proficiency in

    SQL

    (including query optimization and data modeling).
  • Hands-on experience with

    Snowflake

    (warehouse design, data ingestion, and transformations).
  • Experience with

    Kafka

    or similar streaming technologies.
  • Familiarity with

    data warehousing concepts

    and

    ETL workflows

    .
  • Working knowledge of

    Python

    or

    Scala

    for data processing (preferred).
  • Understanding of

    relational and non-relational data models

    .
  • Excellent problem-solving, analytical, and collaboration skills.

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