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

1. Internal Evaluation (Infosys)
2. Client Interviews (Two Rounds):

• Coding Round
• Oral Interview / Project Explanation