Job
Description
Role & Responsibilities Role Overview : We are seeking a talented and forward-thinking Data Engineer for one of the large financial services GCC based in Hyderabad with responsibilities that include designing and constructing data pipelines, integrating data from multiple sources, developing scalable data solutions, optimizing data workflows, collaborating with cross-functional teams, implementing data governance practices, and ensuring data security and compliance. Technical Requirements : • Proficiency in ETL, Batch, and Streaming Process • Experience with BigQuery, Cloud Storage, and CloudSQL • Strong programming skills in Python, SQL, and Apache Beam for data processing • Understanding of data modeling and schema design for analytics • Knowledge of data governance, security, and compliance in GCP • Familiarity with machine learning workflows and integration with GCP ML tools • Ability to optimize performance within data pipelines Functional Requirements : • Ability to collaborate with Data Operations, Software Engineers, Data Scientists, and Business SMEs to develop Data Product Features • Experience in leading and mentoring peers within an existing development team • Strong communication skills to craft and communicate robust solutions • Proficient in working with Engineering Leads, Enterprise and Data Architects, and Business Architects to build appropriate data foundations • Willingness to work on contemporary data architecture in Public and Private Cloud environments This role offers a compelling opportunity for a seasoned Data Engineering to drive transformative cloud initiatives within the financial sector, leveraging unparalleled experience and expertise to deliver innovative cloud solutions that align with business imperatives and regulatory requirements. Qualification o Engineering Grad / Postgraduate CRITERIA o Proficient in ETL, Python, and Apache Beam for data processing efficiency. o Demonstrated expertise in BigQuery, Cloud Storage, and CloudSQL utilization. o Strong collaboration skills with cross-functional teams for data product development. o Comprehensive knowledge of data governance, security, and compliance in GCP. o Experienced in optimizing performance within data pipelines for efficiency.
