Data Engineer IV

VARITE is a global staffing and IT consulting company providing technical consulting and team augmentation services to Fortune 500 companies in the USA, UK, Canada, and India.

Client Overview:

Role Overview:

Location:

Contract Duration:

Start Date:

Experience Required:

Key Responsibilities:

• Develop and maintain data pipelines and automation processes using

  Azure Data Factory

  .
• Implement

  ETL/ELT

  processes focused on data warehousing, dimensional modeling, and incremental loads.
• Develop

  cloud-based data solutions

  within

  Azure

  infrastructure.
• Write complex

  ANSI SQL

  queries, including SELECT, DML, DDL, and optimization techniques like indexing and partitioning.
• Track project and development progress using industry-standard

  DevOps tools

  (e.g.,

  Jira

  ).
• Ensure seamless integration and automation for HR data assets, preparing the business for future workforce analytics needs.

Qualifications:

• Bachelor's or Master's degree

  in Computer Science, Computer Engineering, Engineering, Data Science, or a related technical field.
• 2+ years of experience in

  data engineering

  and

  data warehousing

  .
• Proficient in

  ANSI SQL

  , including advanced techniques like partitioning, indexing, and query optimization.
• Hands-on experience with

  Azure Data Factory

  for data pipelines, orchestration, and mapping.
• Experience with

  ETL/ELT

  processes specific to

  dimensional modeling

  concepts and incremental data loads.
• Familiarity with project tracking in

  DevOps tools

  (e.g.,

  Jira

  ).

Preferred Skills:

• Experience with

  Data Bricks

  development.
• Knowledge of the

  HR/Workforce/People domain

  (e.g., headcount, hires, terms).
• Familiarity with

  Workday source system

  and its integrations.
• Experience with

  Business Intelligence tools

  like

  Power BI

  or

  Tableau

  .
• Experience with

  Visier integrations

  .

Click apply for this exciting opportunity with a leading research and consulting firm.