Data Engineer

1 week ago

Gurgaon, Haryana, India Unicorn Workforce Full time ₹ 15,00,000 - ₹ 25,00,000 per year

About the Role

We are seeking a passionate and experienced
Data Engineer
proficient in
PySpark, SQL, ETL, and AWS
to design and manage large-scale data processing systems. The ideal candidate will have a strong understanding of modern data architecture, pipeline automation, and performance optimization. You will collaborate with stakeholders and architects to ensure data solutions are reliable, efficient, and aligned with business goals.

Key Responsibilities

  • Design, develop, and maintain robust
    ETL pipelines
    using
    PySpark, Python, and AWS
    .
  • Build, test, and optimize
    data management and processing systems
    for scalability and performance.
  • Collaborate closely with
    solution architects and business stakeholders
    to translate data requirements into technical solutions.
  • Ensure
    data architecture
    supports current and future business needs.
  • Enhance
    data quality, reliability, and efficiency
    across systems and processes.
  • Identify
    data acquisition and enrichment opportunities
    to increase business value.
  • Develop and maintain
    data models
    that simplify system complexity and reduce operational costs.
  • Contribute to
    Agile delivery
    processes through sprint planning, retrospectives, and reviews.
  • Drive
    innovation and continuous improvement
    across the data engineering landscape.

Technical Skills Required

  • PySpark
    ,
    Python
    ,
    SQL
    ,
    ETL development
  • AWS Services:
    S3, Glue, Lambda, EMR, Redshift
  • Data Pipeline design
    ,
    data modeling
    , and
    data transformation
  • Experience with
    workflow orchestration
    and automation frameworks

Nice to Have

  • Experience in
    Life Sciences / Pharma domain
  • Exposure to
    Dremio
    ,
    NiFi ingestion
    , and
    Redshift
  • Knowledge of
    BI tools
    such as
    Tableau
    or
    Power BI
  • Understanding of
    data governance
    and
    compliance standards

Key Attributes

  • Strong analytical and problem-solving mindset
  • Excellent communication and collaboration skills
  • Detail-oriented with a focus on performance and scalability
  • Self-driven, proactive, and comfortable in
    Agile environments

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