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    Job · 22243043

    machine learning technologies llc logo

    ETL Data Platform Developer

    machine learning technologies llc · Not specified · onsite · Posted today

    Not disclosed7–9 yrsfulltimeSourced fromFoundit

    About a minute. You'll make an account on the way through.

    About this role

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    Job Description

    Job Overview

    • Job ID:

    J52988

    • Job Title:

    ETL Data Platform Developer

    • Location:

    Redmond, WA

    • Duration:

    24 Months + Extension

    • Hourly Rate:

    Depending on Experience (DOE)

    • Work Authorization:

    US Citizen, Green Card, OPT-EAD, CPT, H-1B,

    H4-EAD, L2-EAD, GC-EAD

    • Client:

    To Be Discussed Later

    • Employment Type:

    W-2, 1099, C2C

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    Summary

    Role : ETL Data Platform Developer

    Location : Redmond, WA (Onsite )

    Key Responsibilities

    Design and implement ETL pipelines using Microsoft Fabric (Dataflows, Pipelines, Lakehouse ,warehouse, sql) and Azure Data Factory.

    Build and maintain a metadata driven Lakehouse architecture with threaded datasets to support multiple consumption patterns.

    Develop agent specific data lakes and an orchestration layer for an uber agent that can query across agents to answer customer questions.

    Enable interactive data consumption via Power BI, Azure OpenAI, and other analytics and AI tools.

    Ensure data quality, lineage, and governance across all ingestion and transformation processes.

    Collaborate with product teams to understand data needs and deliver scalable solutions.

    Optimize performance and cost across storage and compute layers.

    Required Qualifications

    7+ years of experience in data engineering with a focus on Microsoft Azure Data stack and Fabric technologies.

    Strong Expertise In

    Executive written and oral communication

    Microsoft Fabric (Lakehouse, Dataflows Gen2, Pipelines, Notebooks)

    Azure Data Factory, Azure SQL, Azure Data Lake Storage Gen2

    Power BI and/or other visualization tools

    SQL, Python and PySpark/ Scala

    Experience working with structured and semi structured data (JSON, XML, CSV, Parquet).

    Proven ability to build metadata driven architectures and reusable components.

    Familiarity with agent based architectures and conversational AI integration is a plus.

    Strong understanding of data modeling, data governance, and security best practices.

    Apply Now

    Equal Opportunity Employer

    MACHINE LEARNING TECHNOLOGIES LLC is an equal opportunity employer inclusive of female, minority, disability and veterans, (M/F/D/V). Hiring, promotion, transfer, compensation, benefits, discipline, termination and all other employment decisions are made without regard to race, color, religion, sex, sexual orientation, gender identity, age, disability, national origin, citizenship/immigration status, veteran status or any other protected status. MACHINE LEARNING TECHNOLOGIES LLC will not make any posting or employment decision that does not comply with applicable laws relating to labor and employment, equal opportunity, employment eligibility requirements or related matters. Nor will MACHINE LEARNING TECHNOLOGIES LLC require in a posting or otherwise U.S. citizenship or lawful permanent residency in the U.S. as a condition of employment except as necessary to comply with law, regulation, executive order, or federal, state, or local government contract

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    © 2008-2018, Machine Learning Technologies LLC. All Rights Reserved.

    Sourced from foundit

    Skills

    ScalaparquetMicrosoft FabricCSVlakehouseAzure SQLdata flowsAzure Data Lake Storage Gen2PipelinesJSONPysparkPythonPower BiXMLSQLAzure Data Factory

    ETL Data Platform Developer · waiting for your command