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Job Description

Job Title:

Location:

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experience: 7+years

About the Role

Data Engineer

Key Responsibilities

  • Design, develop, and maintain

    data pipelines

    for ingesting, wrangling, transforming, and joining data from multiple sources.
  • Leverage

    ETL tools

    such as Informatica, AWS Glue, Databricks, and DataProc to enable robust data integration workflows.
  • Develop solutions using

    Python, PySpark, and SQL

    , ensuring code quality, reusability, and performance optimization.
  • Implement

    data warehouse and lakehouse solutions

    including

    Snowflake, BigQuery, Delta Lake, and other modern data platforms

    .
  • Monitor and optimize data processing costs while addressing performance and scalability challenges.
  • Apply

    DevOps practices

    for automation, CI/CD, and infrastructure efficiency in data engineering workflows.
  • Design and implement

    data models and schemas

    for structured, semi-structured, and unstructured data.
  • Collaborate with project managers, architects, and stakeholders to translate requirements into effective solutions.
  • Debug, test, and tune performance of pipelines while ensuring

    high-quality data delivery

    .
  • Document architecture, processes, and milestones to support end-to-end delivery.
  • Influence best practices, enhance customer satisfaction, and contribute to team engagement.

Required Skills & Qualifications

  • 7+ years of experience

    in Data Engineering and pipeline development.
  • Proficiency in

    ETL tools

    (Informatica, AWS Glue, Databricks, DataProc).
  • Strong coding expertise in

    Python, PySpark, and SQL

    .
  • Proven experience in

    data warehousing/lakehouse technologies

    such as

    Snowflake, BigQuery, Delta Lake, or similar

    .
  • Solid understanding of

    DevOps practices, CI/CD pipelines, and infrastructure management

    .
  • Ability to optimize costs and performance across large-scale data systems.
  • Strong analytical, problem-solving, and communication skills.
  • Bachelor’s or Master’s degree in Computer Science, Data Engineering, or related field

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