Senior Data Engineer

Gravity IT Resources

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Job Title: Senior Data Engineer

Location: Remote

Job Type: Direct Hire/ FTE

Referral Fee:

Employment Eligibility: Gravity cannot transfer nor sponsor a work visa for this position. Applicants must be eligible to work in the U.S. for any employer directly

Position Overview

The Senior Data Engineer is responsible for Design, develop and implement scalable batch/real time data pipelines (ETLs) to integrate data from a variety of sources into Data Warehouse and Data Lake.

Our Client is a leading healthcare payments provider.

 

Duties and Responsibilities

  • Design, develop and implement scalable batch/real time data pipelines (ETLs) to integrate data from a variety of sources into Data Warehouse and Data Lake
  • Design and implement data model changes that align with warehouse dimensional modeling standards.
  • Proficient in Data Lake, Data Warehouse Concepts and Dimensional Data Model.
  • Responsible for maintenance and support of all database environments, design and develop data pipelines, workflow, ETL solutions on both on-prem and cloud-based environments.
  • Design and develop SQL stored procedures, functions, views, and triggers
  • Design, code, test, document and troubleshoot deliverables
  • Collaborate with others to test and resolve issues with deliverables
  • Maintain awareness of and ensure adherence to company standards regarding privacy.
  • Create and maintain Design documents, Source to Target mappings, unit test cases, data seeding.
  • Ability to perform Data Analysis and Data Quality tests and create audit for the ETLs.
  • Perform Continuous Integration and deployment using Azure Devops and Git

 

Required Experience and Skills

  • Has demonstrated proficiency in designing and developing Azure Data Factory Pipelines. (2 Years)
  • Strong Experience designing and implementing Data Warehouse.
  • Experience working with Microsoft BI stack (SSIS/SSRS/SSAS) and Microsoft SQL server. (5 Years)
  • Must have Experience with at least one Columnar MPP Cloud data warehouse (Snowflake /Azure Synapse / Redshift) (2+ years)
  • Working knowledge managing data in the Data Lake.
  • Experience in ETL tools like Fivetran and DBT. (2 Years)
  • Experience with Git and Azure Devops.
  • Experience in Agile, Jira and Confluence.
  • Solid understanding of programming SQL objects (procedures, triggers, views, functions) in SQL Server. Experience optimizing SQL queries a plus.
  • Working Knowledge of Azure Architecture, Data Lake
  • Advanced understanding of T-SQL, indexes, stored procedures, triggers, functions, views, etc.
  • Have Healthcare experience.

 

Emily.Newsome

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