Python Data Engineer

4 years

0 Lacs

Posted:1 day ago| Platform: Linkedin logo

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Work Mode

On-site

Job Type

Full Time

Job Description

Job description

Note: Only candidates who meet the eligibility criteria should apply. Others are kindly requested not to apply.


Location:

Experience:

Employment Type:


Company Description

thinQ24 is a Software Development Company based in Chennai, TN, India, founded in 2019. We focus on going beyond limits to turn customers' ideas into reality and provide tailored solutions for business growth. Our services include IT Outsourcing, IT Staffing, and Software Development, catering to clients in the USA, UK, and India.


About the Role

Data Engineers


Key Responsibilities

  • Design, develop, and maintain scalable 

    ETL pipelines

     and 

    data workflows

    .
  • Work extensively with 

    Azure Databricks

     for data processing, transformation, and integration.
  • Write clean, efficient, and reusable code in 

    Python

     for data engineering tasks.
  • Collaborate with cross-functional teams (Data Science, Analytics, and Product) to ensure data is reliable, accessible, and business-ready.
  • Optimize performance of data pipelines and troubleshoot bottlenecks.
  • Ensure data quality, security, and governance best practices.


Must-Have Skills

  • 4–6 years of professional experience as a Data Engineer.
  • Strong programming skills in 

    Python

     (data manipulation, automation, libraries like Pandas, PySpark).
  • Proven hands-on experience with 

    Azure Databricks

     for data engineering use cases.
  • Solid understanding of 

    ETL/ELT pipelines, data modeling, and big data frameworks

    .
  • Strong SQL skills for data extraction, transformation, and analysis.


Good-to-Have Skills

  • Exposure to 

    Azure Data Lake, Azure Data Factory, or Synapse

    .
  • Familiarity with CI/CD, version control (Git), and DevOps practices in a data environment.
  • Experience with real-time data processing tools (Kafka, Event Hub, etc.).


What We Offer

  • Opportunity to work on cutting-edge data engineering projects.
  • Collaborative and growth-oriented team culture.
  • Flexible environment that values innovation and problem-solving.

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