More jobs:
Data Analyst
Job in
Detroit, Wayne County, Michigan, 48228, USA
Listed on 2026-10-19
Listing for:
Optomi
Full Time
position Listed on 2026-10-19
Job specializations:
-
IT/Tech
Data Engineering, Azure
Job Description & How to Apply Below
Optomi, in partnership with a leading organization in the restaurant industry, is looking for a Data Analyst to join their growing data team! This is an exciting opportunity for a hands-on data professional to help build and maintain data integrations that bring third-party and vendor data into a modern Microsoft Fabric and Azure environment. This role will focus heavily on Microsoft Fabric, Python, SQL, and REST API ingestion while providing long-term growth opportunities into Data Engineering and Data Architecture.
Whatthe right candidate will enjoy:
- 100% remote opportunity!
- Working hands-on with Microsoft Fabric, Azure, Python, and SQL in a modern data environment!
- Building data ingestion processes that bring data from REST APIs and third-party sources into Microsoft Fabric and Azure!
- Working with Fabric Lakehouse, One Lake, pipelines, and other modern Microsoft data technologies to create clean, reliable datasets!
- Partnering closely with data engineers and technical stakeholders while having the opportunity to grow further into Data Engineering and Data Architecture!
- 3+ years of hands-on Data Analytics, Data Engineering, or Data Integration experience.
- Strong hands-on experience with Microsoft Fabric, including technologies such as One Lake, Lakehouse, Fabric Pipelines, Dataflows Gen2, or Fabric Notebooks.
- Strong Python and SQL experience for data ingestion, transformation, cleaning, and validation.
- Experience consuming and ingesting data from REST APIs and other external or third-party data sources.
- Hands-on experience within the Microsoft Azure ecosystem, ideally including Azure Data Factory, Azure SQL, or Azure Data Lake Storage.
- Experience designing, building, and maintaining ETL/ELT pipelines.
- Experience working with structured and semi-structured data, including formats such as JSON and CSV.
- Strong understanding of data quality, validation, troubleshooting, and monitoring.
- Experience with data modeling, schema design, Git/version control, or data governance is a plus.
- Experience working with vendor data feeds and coordinating data integration requirements is a plus.
- Design, build, and maintain ETL/ELT pipelines that ingest data from third-party vendors and external sources.
- Develop REST API integrations to bring external data into Microsoft Fabric and Azure environments.
- Use Python and SQL to clean, validate, transform, and standardize incoming data.
- Store and organize ingested data using Microsoft Fabric, One Lake, Lakehouse, and Azure data services.
- Create clean, structured, analysis-ready datasets that can be consumed by downstream data engineering and analytics teams.
- Monitor pipeline health, troubleshoot failures, and resolve data quality issues.
- Document data sources, schemas, transformation logic, refresh schedules, dependencies, and known data issues.
- Partner with data engineers and internal stakeholders to understand downstream requirements and ensure datasets meet business and technical needs.
- Coordinate with third-party vendors around data delivery, format changes, access, and integration requirements.
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