5 - 7 years

10 - 17 Lacs

Posted:11 hours ago| Platform: Naukri logo

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Work Mode

Hybrid

Job Type

Full Time

Job Description

Job Title: Data Engineer Pharma/Life Sciences Domain

Company:

Data Engineer

Roles & Responsibilities

  • Design, develop, and maintain scalable data pipelines, ETL workflows, and data integration solutions
  • Work with diverse structured and unstructured data sources to ensure accurate and efficient data ingestion
  • Write and optimize complex SQL queries for reporting and analytics
  • Develop data processing solutions using Python/PySpark
  • Build and manage data workflows using

    Apache Airflow

    and

    AWS Glue

  • Integrate and transform data within

    Snowflake

    ,

    Databricks

    , and other modern data platforms
  • Collaborate with data scientists, analysts, and cross-functional teams to understand business requirements
  • Implement data quality, data governance, and data security best practices
  • Troubleshoot performance issues, optimize pipelines, and ensure high system reliability

Required Skills

  • 5+ years of proven experience as a Data Engineer or in a similar role
  • Strong programming skills in

    Python/PySpark

  • Hands-on experience with

    AWS Glue

    ,

    Snowflake

    , and modern data platforms
  • Proficiency in

    SQL

    and data modeling concepts
  • Experience with ETL tools such as

    Informatica

    ,

    Dataiku

    , or equivalent
  • Strong understanding and experience with

    Apache Airflow

  • Familiarity with

    Databricks

    and cloud-based data ecosystems
  • Mandatory:

    Prior experience working in the

    Healthcare/Pharma/Life Sciences

    domain

Preferred Qualifications

  • Experience in handling large-scale data architectures
  • Exposure to data governance and compliance frameworks within pharma
  • Strong communication and problem-solving abilities

How to Apply

“Application for Data Engineer – Pharma/Life Sciences – Bangalore” to my Mail Id: rohith.m@techno-facts.com/8340016782.

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