People Tech Group , a global technology and consulting leader with offices across the U.S., India, Canada, and the Middle East, serving clients in over 10 countries.
Our organization operates through key business units :
- People Tech Technologies – Enterprise IT, Cloud, Data, ERP, and Salesforce
- People Media – Digital content and marketing solutions
- People Infra – Infrastructure, IoT, and managed services
- People Enterprises – Business consulting and enterprise transformation
With 20+ global data centers, we deliver secure, high-performance, and scalable technology solutions to top-tier clients.
One of the Recent Development happened with the company, we have got acquired by Quest Global Company, Quest Global is One of the world’s largest engineering Solution provider Company, It has 20,000+ employee strength, with 70+ Global Delivery Service centers, Headquarters are based in Singapore. Going forward, we all are part of Quest Global Company.
Company : People Tech Group
Location : Hyderabad (On-site)
Shift Timing : 10 : 00 AM – 7 : 00 PM IST
Work Days : 5 Days a Week (Monday to Friday)
Job Title : Data Engineer
Experience :
Level 1 : 4yrs – 6 yearsLevel 2 : 6yrs – 15 yearsRequired Skills :
Strong hands-on experience in PythonProficient in PySpark for large-scale data processingExpertise in SQL for data querying and transformationSolid understanding of Data Lake architecturesExperience with any Cloud Platform :AWS orAzure orGCPResponsibilities :
Design and build scalable data pipelines using PySpark and PythonDevelop, test, and maintain robust ETL workflows for structured and unstructured dataWork with data lakes and cloud platforms to manage big data solutionsCollaborate with cross-functional teams to gather requirements and deliver data solutionsEnsure data quality, consistency, and security throughout all pipelinesOptimize and troubleshoot data workflows and performance bottlenecksGood to Have :
Exposure to DevOps tools and CI / CD pipelinesExperience with Delta Lake, Apache Airflow, or similar orchestration toolsFamiliarity with data governance and compliance practicesPerks :
Opportunity to work on large-scale cloud data projectsCollaborative and growth-focused environmentDirect impact on client-driven, real-time data solutions