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Job Location: Mount Laurel, NJ
Lead Data Engineer
Location: Mount Laurel, NJ / Willington, DE / Charlotte, NC
Fulltime / C2H
o Data Flow Processes
o SQL Development
o ETL, Informatica
o Python, Pyspark
o Azure, Data Bricks, ADF
· Design and develop ETL processes based on functional and non-functional requirements in python / Pyspark within Azure platform
· Understand the full end to end development activities from design to go live for ETL development and Azure platform
· Recommend and execute improvements
· Document component design for developers and for broader communication.
· Understand and adopt an Agile (SCRUM like) software development mindset
· Follow established processes/standards, business technology architecture for development, release management and deployment process
· Execute and provide support during testing cycles and post-production deployment, engage in peer code reviews.
· Elicit, analyze, interpret business and data requirements to develop complete business solutions, includes data models (entity relationship diagrams, dimensional data models), ETL and business rules, data life cycle management, governance, lineage, metadata and reporting elements.
· Apply automation and innovation on new and on-going data platforms for those development projects aligned to business or organizational strategies.
· Design, develop and implement reporting platforms (e.g. modeling, ETL, BI framework) and complex ETL frameworks that meet business requirements.
· Deliver business or enterprise data deliverables (that adhere to enterprise frameworks) for various platforms/servers/applications/systems.
· Implement processes aligned to data management standards, ensure data quality and requirements are embedded in/adhered to within system development deliverables.
· Develop, maintain knowledge of data available from upstream sources and data within various platforms.
· Perform data profiling using TD tooling and ad hoc system query languages to validate data analysis.
· Engage with data managers, stewards and owners to implement, maintain, enhance data governance, quality and related policies, aligning with TD’s standards and frameworks.
· Ensure capture of requirements related to data privacy and security, governance and access controls.
· Respect TD’s technology delivery practices, standards, project management disciplines.
· Working experience with data modeling, relational modeling and dimensional modeling.
Thanks and Regards,
Klaxontech Inc.
Khushi Gupta
Mobile : +1 201-442-8721
Email:- khushi.g@klaxontech.com
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