Role Summary
We are looking for an experienced
Data Engineering
to design, develop, and lead enterprise-scale data solutions. The role requires strong hands-on expertise in
Informatica / IDMC
,
Databricks / Python
, along with proven experience leading technical teams. You will work closely with business stakeholders, architects, and cloud teams to deliver scalable, secure, and high-performance data platforms.
Primary Skills (Mandatory)
Informatica / Informatica Intelligent Data Management Cloud (IDMC)
Databricks
Python
Solid experience in
data ingestion, transformation, and orchestration
Code reviews and quality assurance
Strong SQL skills and experience working with large datasets
Secondary Skills (Good to Have)
Data visualization and analytics using
Tableau
and/or
Oracle Analytics Server (OAS)
Hands-on experience with
AWS Cloud
, including:
S3, EC2, Lambda, IAM, Glue (or equivalent services)
Exposure to cloud-native data architectures and data lakes
Key Responsibilities
Lead the design and development of end-to-end
data engineering solutions
Build and optimize
ETL/ELT pipelines
using Informatica/IDMC and Databricks
Develop scalable data processing workflows using
Python
Ensure data quality, performance tuning, and best engineering practices
Mentor team members and act as a technical escalation point
Collaborate with architects, analysts, and business stakeholders
Support cloud deployment, monitoring, and cost optimization on AWS
Ensure adherence to security, governance, and compliance standards