Data Engineer

Job Title:

Data Engineer

Experience:

4–6 years

Location:

Gurugram

About the Role
We are seeking a skilled  Data Engineer with 4–6 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 Dynamo

DB, 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
4–6 years of experience in Data Engineering or related roles
Strong hands-on experience with:
Py Spark
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.