Sr. Azure Data Engineer Job at IPS Technology Services, Princeton, NJ

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  • IPS Technology Services
  • Princeton, NJ

Job Description

Sr. Azure Data Engineer

Location : Princeton NJ

Long Term

Primary Skill: Azure Databricks, Python, Azure Data Factory*****

Skillset and Experience

  • Overall 12+ years in IT, with 4+ years of skills with Data Migration and Azure Cloud Data Migration and Data Warehousing related projects.
  • Experience in developing and maintaining modern ingestion pipeline using technologies like (Azure Data Factory, SSIS, Spark etc)
  • Experience with Insurance Domain
  • Strong experience in design and configuration of data movement and transformation (ETL) technologies such as Azure Data Factory
  • Hands on experience on Azure Cloud and its Native components like Azure Data bricks
  • Strong experience in Data storage technologies such as Azure SQL DW, Azure Data Lake
  • Strong experience in analytics solutions using Databricks, Azure Synapse Analytics
  • String experience in coding with languages like SQL, Pl/SQL
  • Good-to-have Azure certification
  • Good experience in Requirements gathering, Design & Development
  • Working with cross-functional teams to meet strategic goals.
  • Experience in high volume data environments
  • Critical thinking and excellent verbal and written communication skills
  • Strong problem solving and analytical abilities, should be able to work and delivery individually
  • Good knowledge of data warehousing concepts
  • Good communication skills
  • Worked in agile methodologies and waterfall execution models
  • Must have excellent oral and written communication with need to interact clients directly
  • Must be both individual contributor, good team player and self-motivated to take on challenges

Roles and Responsibilities

  • Provide technical and development support to client to build and maintain data pipeline
  • Develop data mapping documents listing business and transformational rules
  • Develop, unit test, deploy and maintain data pipelines
  • Analyze source specifications and build data mapping documents
  • Identify and document applicable non-functional requirements
  • Understand profiling results and validate data quality rules
  • Utilize data analysis tools to construct and manipulate datasets to support analyses
  • Collaborate with and support Quality Assurance (QA) in building functional scenarios and validating results

Job Tags

Contract work, Relocation,

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