Enterprise Solutions Inc

Data Engineer

Warren, NJ 07059

Posted: 10/09/2024 Job Number: z5G7h3l6a1kMvyS65NP3c-VM14SPokYDIs2wtWwx8sM= Pay Rate: 60-80 Hourly USD

Job Description


Job description
  • Develop and evolve the enterprise-wide data strategy to support delivery of corporate objectives
  • Be a key stakeholder and advisor in all new strategic data initiatives and ensure alignment to the enterprise-wide data strategy
  • Build a framework of principles to ensure data integrity across the business including but not limited to ERP CRM BI Data warehouse external interfaces etc
  • Ensure that the Data Architecture strategy and roadmap is aligned to the business and technology strategies
  • Apply Best Practices in creating and maintaining Data Data Pipelines Data Lakes Data Sources Databases Artifacts
  • Build and maintain appropriate Enterprise Architecture artefacts including Entity Relationship Models Data dictionary taxonomy to aid data traceability
  • Provide technical oversight to solution delivery in creating business driven solutions adhering to the enterprise architecture and data governance standards
  • Be an advocate of data security principles and ensure appropriate security practices are embedded in any data strategy
  • Be an active contributor to how the bank evolves Data Governance practices and influence the adoption of data standards
  • Develop key performance measures for data integration and quality
  • Support third party data suppliers in developing specifications that are congruent with the Enterprise data architecture

 

Skills
  • Proven experience in architecting and implementing Business Intelligence and Data warehouse platforms Master data Management data integration and OLTP database solutions
  • Possess in-depth knowledge of and able to consult on various technologies Strong knowledge of industry best practices around data architecture in both clouds based and on prem solutions
  • Strong analytical and numerical skills are essential enabling easy interpretation and analysis of large volumes of data
  • A comprehensive understanding of the principles of and best practices behind data engineering and the supporting technologies such as RDBMS NoSQL Cache In memory stores
  • Experience of architecting data solution across hybrid cloud on premise data platforms
  • A comprehensive understanding of data warehousing and data transformation extract transform and load processes and the supporting technologies such as Amazon Glue EMR Azure Data Factory Data Lake other analytics products
  • Experience implementing data solutions Excellent problem solving and data modelling skills logical physical sematic and integration models including normalization OLAP OLTP principles and entity relationship analysis
  • Experience of mapping key Enterprise data entities to business capabilities and applications
  • A strong knowledge of horizontal data lineage from source to output
  • Excellent communication and presentational skills confident and methodical approach and able to work within a team environment

 

Skills

Hadoop-Spark Spark SQL - Python

 

 
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About Warren, NJ

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