Data Engineer

Job Description :

We are looking for a skilled Data Engineer with 5-8 Years of experience with strong expertise in data integration, ETL pipelines, and cloud infrastructure. The ideal candidate will be proficient in SQL, Python, and MongoDB, with hands-on experience in building scalable data pipelines and working across multiple databases. The role requires a platform-agnostic mindset with exposure to AWS services, messaging systems, and monitoring tools. The selected candidate will be working at our client site in Delhi, and this is a Work From Office (WFO) opportunity.

Experience- 5-8 years

Location - Delhi

Key Responsibilities :

Design, develop, and maintain ETL pipelines and database schemas to support business and analytics needs.

Work with multi-database architectures (SQL, NoSQL, MongoDB) ensuring scalability and efficiency.

Deploy and manage AWS resources such as Lambda functions and EC2 instances.

Integrate and optimize streaming / messaging frameworks such as Kafka and caching systems like Redis.

Collaborate with cross-functional teams to ensure seamless data flow across platforms.

Monitor infrastructure and system performance using tools such as Grafana, CloudWatch, or equivalent monitoring solutions .

Ensure data quality, security, and compliance standards are consistently maintained.

Required Skills & Experience :

Strong programming experience in SQL, Python, and MongoDB .

Proven experience in building and managing ETL pipelines .

Ability to work in a platform-agnostic environment.

Hands-on experience with AWS services (Lambda, EC2).

Exposure to Kafka / Redis .

Experience with monitoring tools ( Grafana, CloudWatch, etc. ).

Strong problem-solving skills and ability to work in a fast-paced environment.