Data Engineer

Job Title: Data Engineer

Experience: 46 years

Location: Gurugram

About the Role

We are seeking a skilled Data Engineer with 46 years of experience to design, build, and maintain scalable data pipelines and cloud-based data solutions. The ideal candidate should have strong expertise in PySpark, Python, SQL, and AWS services including DynamoDB, Lambda, SQS, Glue, and RDS. You will work closely with data analysts, data scientists, and cross-functional teams to enable efficient data processing and analytics.

Key Responsibilities

• Design, develop, and optimize scalable ETL/ELT data pipelines using PySpark and Python
• Build and maintain data workflows using AWS Glue
• Develop and manage serverless data processing solutions using AWS Lambda
• Implement messaging and event-driven architectures using Amazon SQS
• Design and manage databases using Amazon RDS and DynamoDB
• Write efficient, complex SQL queries for data extraction and transformation
• Ensure data quality, integrity, and governance across systems
• Optimize data storage and processing performance
• Monitor, troubleshoot, and enhance existing data pipelines
• Collaborate with stakeholders to understand data requirements and translate them into technical solutions
• Maintain documentation for data architecture and processes

Required Skills & Qualifications

• 46 years of experience in Data Engineering or related roles
• Strong hands-on experience with:
• PySpark
• Python
• SQL
• Amazon DynamoDB
• AWS Lambda
• Amazon SQS
• AWS Glue
• Amazon RDS
• Experience in building distributed data processing systems
• Solid understanding of data modeling and database design
• Experience working in cloud environments (AWS preferred)
• Knowledge of performance tuning and optimization techniques
• Strong problem-solving and analytical skills

What We Offer

• Competitive compensation and benefits package.
• Opportunity to work with cutting-edge data technologies.
• Collaborative, innovation-driven work culture.
• Career growth through continuous learning and upskilling opportunities.