Data Engineer
1 week ago
Job Description:
We are looking for a skilled
Data Engineer
with
3-7 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- 3-7 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.
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