Data Engineer

Job Description –

Data Engineer Number of Openings:

3 Preferred Location:

Gurgaon Work Locations:

Bangalore / Gurgaon Work Model:

Onsite Shift Timings:

General Mode of Interview:

Video + Face-to-Face Total Experience:

6+ Years Relevant Experience:

Minimum 6 Years Job Summary We are looking for experienced Data Engineers with strong expertise in Python, PySpark, and AWS to design, develop, and optimize scalable data pipelines and cloud-based data solutions. The ideal candidate should have hands-on experience in advanced Python programming, SQL, and AWS data services. Key Responsibilities Design, develop, and maintain scalable data pipelines using Python and PySpark Build and optimize ETL/ELT workflows Work extensively with AWS services including Lambda, Glue, and Step Functions Write optimized and complex SQL queries for data transformation and validation Develop and maintain data processing frameworks Collaborate with cross-functional teams to understand data requirements Ensure data quality, governance, and performance tuning Participate in architecture discussions and technical design reviews Troubleshoot and resolve data-related production issues Mandatory Skills 6+ years of experience in Data Engineering Strong hands-on experience in Python (Advanced Level) Strong expertise in PySpark Extensive experience with AWS (Lambda, Glue, Step Functions) Strong command over SQL Experience building scalable and optimized data pipelines Preferred Skills Experience working in distributed data environments Knowledge of data warehousing concepts Familiarity with Agile methodology Strong problem-solving and analytical skills Interview Process Internal Evaluation (Infosys) Client Interviews (Two Rounds): Coding Round Oral Interview / Project Explanation