Data Engineer

Overview

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Responsibilities

• End-to-End Data Product Pipelines - Design, build, and maintain robust data pipelines that ingest, process, transform, and deliver Data Products for analytics, reporting, and operational use cases. Ensure pipelines are scalable, maintainable, and aligned with business requirements.
• Automated Data Workflow Development - Develop and orchestrate automated workflows using modern data engineering frameworks and orchestration tools to enable continuous, reliable, and timely delivery of Data Products to downstream systems and stakeholders.
• Data Preparation & Transformation - Perform comprehensive data cleansing, preprocessing, and transformation to ensure accuracy, consistency, and usability. Implement ETL / ELT processes that extract data from diverse sources, transform it into a unified structure, and load it into analytics-ready storage. Provide recommendations to optimize data usability and operational efficiency.
• Cross-Functional Collaboration & Pipeline Strategy - Work closely with business, product, and technology teams to define data requirements, design pipeline architectures, and implement solutions that meet current needs while anticipating future scalability and integration requirements.
• Data Quality, Reliability & Governance - Define and implement frameworks for data validation, monitoring, and error handling to ensure high data quality, source integrity, and reliability. Partner with governance teams to enforce compliance, metadata management, and lineage tracking across the pipeline ecosystem.

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