Senior Data Engineer designing and optimizing data platforms for clients using Microsoft Azure, Microsoft Fabric, Power BI, and Databricks. Working closely with clients to deliver scalable solutions.
About the role
- Tech Lead Data Engineering overseeing data engineering, ETL processes, and cloud technologies. Leading project delivery with strong hands-on experience in Informatica, Python, and GCP.
Responsibilities
- Lead end-to-end data engineering drive and manage Informatica-based data conversion and migration projects
- Collaborate with business stakeholders to translate data requirements into scalable technical solutions
- Ensure data quality, performance optimization and best practices across pipelines
- Mentor and guide junior engineers within the team
- Evaluate and adopt emerging technologies including AI/ML tooling where applicable
- Work closely with SME, analysts and product teams on delivery.
Requirements
- Informatica PowerCenter / IICS — Strong hands-on experience in ETL development, mapping design and data conversion projects
- Python — Proficient in data engineering, scripting, automation and pipeline development
- Teradata — Experience in data warehousing, SQL optimization and working with large-scale Teradata environments
- Google BigQuery — Hands-on experience in BigQuery data modeling, query optimization and large dataset handling
- GCP (Google Cloud Platform) — Experience with GCP services such as Dataflow, Cloud Storage and Cloud Composer/Airflow.
Job title
Job type
Experience level
Salary
Not specified
Degree requirement
No Education Requirement
Tech skills
Location requirements
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