Python Data Engineer

2 days ago

Chennai, India thinQ24 Full time

Job descriptionNote: Only candidates who meet the eligibility criteria should apply. Others are kindly requested not to apply.Location: Onsite / HybridExperience: 4+ YearsEmployment Type: Contract/Full-TimeCompany DescriptionthinQ24 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 RoleWe 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 ResponsibilitiesDesign, 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 Skills4–6 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 SkillsExposure 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 OfferOpportunity 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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