Create and maintain data models (dimensional and 3NF) aligned with business requirements.
Design and develop ETL pipelines that consolidate data from various source systems into a unified data platform, including defining source-to-target mappings, business rules, and any necessary data transformations.
Develop Semantic Models and Reports / Dashboards based on business requirements.
Facilitate business requirements sessions and conduct data analysis to accurately identify and specify the data needed to support impactful business objectives.
Collaborate effectively with clients and team members across regions.

Requirements

Bachelor’s degree or equivalent experience in Math, Computer Science, Information Systems, Finance, Accounting, Economics, or Analytics.
1+ years of experience designing data models across multiple subject areas and business domains.
1+ years of experience in designing and developing business intelligence solutions.
1+ years of designing and developing scalable, efficient data pipelines to ingest, transform, and load data from multiple sources into data lakes and data warehouses
Proficient in SQL
Experience with Python/Scala
Proven experience with major cloud platforms such as Microsoft Azure, AWS or GCP
Experience with data platforms like Fabric, Databricks and Snowflake
Experience with GIT, DevOps, CI/CD or Version Control
Experience with BI visualization tools such as Power BI, Quick Sight or Tableau.

Benefits

flexibility in your schedule, empowering you to balance life’s demands while also maintaining your ability to serve clients

Applicant Tracking System Keywords

Tip: use these terms in your resume and cover letter to boost ATS matches.

Hard Skills & Tools

data modelingETL pipelinesSQLPythonScaladata analysisbusiness intelligence solutionsdata transformationdata lakesdata warehouses

Soft Skills

collaborationcommunicationfacilitationanalytical thinking