Big Data Developer
1 week ago
Engineer the Flow of Data – We're Hiring in Pune
(6+ Yrs, CBE)
We're looking for a
Data Engineer
to join our engineering team You'll play a key role in designing, automating, and optimizing our data processes, developing scalable solutions in
Python
within the
AWS cloud ecosystem
(Lambda, Glue, Redshift, and more).
Key Responsibilities
- Design, develop, and maintain efficient
ETL pipelines
using Python, SQL, AWS Glue, and Redshift. - Automate data flows and integrations using
AWS Lambda
and other serverless services. - Propose and implement improvements to existing pipelines for better performance, scalability, and maintainability.
- Collaborate on designing
scalable, resilient data architectures
in AWS. - Manage infrastructure as code using
Terraform
. - Participate in code reviews and use
Git
for collaborative version control. - Document technical solutions and promote data engineering best practices.
Technical Requirements
- Python:
3+ years (intermediate to advanced level) - SQL:
3+ years, strong with complex data models - Big Data / PySpark:
1–2+ years (preferred) - AWS (Lambda, Glue, Redshift, S3):
2–3 years hands-on - Terraform:
1–2 years (intermediate) - Git:
Daily use in collaborative environments - Strong focus on
automation, error handling, logging, and testing
in data pipelines
Professional Profile
- Proactive and improvement-driven mindset
- Analytical thinker with strong problem-solving skills
- Great communicator with technical and non-technical teams
- Strong documentation habits
Nice to Have
- Experience with
CloudWatch
or other monitoring tools - Knowledge of
event-driven architectures - Familiarity with
Apache Airflow
or other orchestration tools - Background in
FinTech
or handling financial data - AWS certifications
are a plus
Location:
Coimbatore
Experience:
6+ years
Interested?
Send your resume to
and
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