Python Data Engineer

2 days ago

Chennai, Tamil Nadu, India thinQ24 Full time ₹ 8,00,000 - ₹ 12,00,000 per year

Job description

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

Location:
Onsite / Hybrid

Experience:
4+ Years

Employment Type:
Contract/Full-Time

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

We are looking for talented 
Data Engineers
 with 
4–6 years of hands-on experience
 to join our growing team. The ideal candidate will have strong expertise in 
Python
 and 
Azure Databricks
, with a passion for building scalable data pipelines and enabling advanced analytics.

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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