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Machine Learning Technologies, LLC in Minnesota seeks a senior Data Engineer to design and optimize data pipelines and analytics architecture. You will drive hands-on work with Azure Data Factory, Azure Databricks/Synapse, SQL Server, Power BI, and automation tools, while mentoring teammates and communicating with stakeholders to translate business needs into robust data solutions.
The role requires 9 years of data engineering experience and leadership in data warehousing, modeling, ETL/ELT, and
US Citizen, Green Card, H-1B, OPT-EAD, CPT, Other
Work Authorization: USC, GC, H-1B, OPT-EAD, GC-EAD, H4-EAD
Job Summary
Roles and Responsibilities:
9 years of experience in Data Engineering
Strong hands-on experience with Azure Data Factory, Azure Databricks/Synapse, SQL Server, and Power BI.
3+ years of experience with Databricks or Synapse and Python/Spark.
Experience with PowerShell and Power Automate.
Strong knowledge of data warehousing, data modelling, ETL/ELT, performance tuning, and Azure data architecture.
Experience with ADLS, Delta Lake, Git, CI/CD, and Azure DevOps is preferred.
Strong stakeholder communication and mentoring experience.
Skillset: Databricks certification Mandatory & Powerbi exp must
We are an equal opportunity employer. All aspects of employment including the decision to hire, promote, discipline, or discharge, will be based on merit, competence, performance, and business needs. We do not discriminate on the basis of race, color, religion, marital status, age, national origin, ancestry, physical or mental disability, medical condition, pregnancy, genetic information, gender, sexual orientation, gender identity or expression, national origin, citizenship/ immigration status, veteran status, or any other status protected under federal, state, or local law.