Lead the design and development of high-performing ETL processes to integrate and transform data across disparate sources.
Deliver efficient, reliable pipelines that meet business needs and maintain the highest standards of security; and
Utilize Azure Data Factory (ADF) to automate and streamline data workflows, ensuring smooth transitions from source to target.
Build and manage complex ETL workflows that extract, transform, and load data for downstream analytics and reporting, ensuring data is accurate, timely, and secure; and
Take ownership of data quality and validation, creating resilient ETL processes that ensure only trusted data reaches its destination.
Leverage the full power of the Azure ecosystem-ADF, Databricks, Synapse, and Purview-to manage and process high volumes of structured and unstructured data, delivering solutions that are scalable and performance-optimized; and
Integrate large datasets into Azure Synapse Analytics, enabling analytics teams to deliver data-driven insights that support the Department’s mission.
Continuously optimize ETL jobs to minimize latency and maximize throughput.
Ensure the architecture supports fast, reliable data access for end-users and systems, meeting stringent performance metrics.
Embed security and compliance best practices in every step of the ETL process.
Protect sensitive data by adhering to industry standards and ensuring compliance with the Department’s data governance policies; and
Use Azure Purview to enforce data governance, track data lineage, and ensure that data handling meets the highest standards of integrity.
Partner with cross-functional teams-data engineers, analysts, business stakeholders, and security experts to design and implement ETL solutions that meet the department’s evolving needs.
Act as a technical leader and mentor, helping guide junior team members and providing expert guidance on data processing and transformation best practices.
Develop and maintain clear, detailed documentation for ETL processes, ensuring the team can consistently deliver high-quality, reliable solutions; and
Establish and enforce best practices for data handling, ETL development, and security, driving a culture of excellence and accountability.
Requirements & Skills:
Seven (7) to 10 years of experience in ETL development and data engineering, with at least three (3) to five (5) years of hands-on experience working with already defined ADF, Azure Databricks, Azure Synapse Analytics, and Azure Purview.
Proven track record of building and optimizing large-scale ETL pipelines for high-performance, high- availability environments.
Expertise in Spark, Python, and/or Scala for large-scale data transformations.
Strong SQL proficiency and experience working with complex data structures.
In-depth knowledge of data governance, security protocols, and role-based access control (RBAC) within the Azure ecosystem; and
Ability to design ETL processes that are resilient, efficient, and fully compliant with regulatory standards.
Microsoft Certified: Azure Data Engineer Associate.
Microsoft Certified: Azure Solutions Architect Expert.
