About
:
We are seeking a Senior Data Engineer to design, build, and optimize scalable data solutions that power critical business operations and client initiatives. This role requires deep expertise in SQL, Python, and enterprise-scale ETL development, with strong experience supporting cloud-based data platforms and migration efforts.
You'll collaborate with cross-functional teams to develop high-performing data pipelines, ensure data reliability, and contribute to engineering best practices across the data ecosystem.
Skill Set:
Advanced Python and SQL. Hands on ETL tools and processes. Supporting cloud-based data platforms and migrations. Proven experience in developing enterprise grade data solutions. Responsibilities
:
Design, develop, and maintain scalable ETL pipelines for structured and unstructured data Build reliable, efficient data solutions using advanced SQL and Python Support cloud migration initiatives, including data mapping, transformation, validation, and performance optimization Work closely with product, analytics, and engineering teams to improve data quality, accessibility, and platform efficiency Contribute to best practices in data engineering, including documentation, testing, versioning, and deployment Troubleshoot pipeline issues and ensure data accuracy and integrity across environments Requirements
Required Qualifications
:
Proven experience as a Data Engineer building and delivering production-grade data solutions Advanced SQL and Python capabilities with experience handling complex data sets and workflows Hands-on experience building and maintaining enterprise ETL processes Experience supporting or migrating to cloud data platforms Strong communication, collaboration, and problem-solving skills Ability to work in fast-paced, structured environments
Languages
- English
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