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MACHINE LEARNING TECHNOLOGIES LLC

Technical Architect-Data Analytics

dallas, TX

Check who can apply and the requirements below before continuing.

About this opportunity

MACHINE LEARNING TECHNOLOGIES LLC lists this Technical Architect-Data Analytics opportunity in dallas, Texas. Review the employer’s description below for duties, qualifications and application requirements.

Job description

Job Description

Job Overview

Job ID: J52782

Job Title: Technical Architect-Data Analytics

Location: Dallas, TX

Duration: 12 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

Responsibilities

Job description

1The ideal candidate will have a good understanding of big data technologies data engineering and cloud computing DWH Projects with a focus on Azure Databricks

2Work closely with business stakeholders and other IT teams to understand requirements and define the scope for engagement with reasonable timeline

3Ensure proper documentation of architecture processes while ensuring compliance with security and governance standards

4Ensure best practices are followed by team in terms of code quality data security and scalability

5Stay updated with the latest developments in Databricks and associated technologies to drive innovation

6Positive attitude and excellent communication skills to manage customer calls Excellent problemsolving skills Good communication Team collaboration

Essential Skills

Overall 12 years of experience along with 5 years of data Analytics project experience

Experience with Azure Databricks notebook development and Delta Lake

Good understanding of Azure services like Azure Data Lake Azure Synapse and Azure Data Factory Fabric

Experience with ETLELT processes data warehousing and building data lakes

SQL skills and familiarity with NoSQL databases

Experience with CICD pipelines and version control systems like Git

Soft Skills

Excellent communication skills with the ability to explain complex technical concepts to nontechnical stakeholders

Strong problemsolving skills and a proactive approach to identifying and resolving issues

Leadership skills with the ability to manage and mentor a team of data engineers

Nice to have Skills

Power BI for dashboarding and reporting

Microsoft Fabric for analytics and integration tasks

Spark Streaming for processing realtime data streams

Experience

Over 12 years of IT experience including 4 years specializing in developing data ingestion and transformation pipelines using DatabricksSynapse notebooks and Azure Data Factory

Good understanding on different domainindustries with respect to data Analytics project DWH projects

Should be good in Excel and Power Point

Good understanding and experience with Delta tables Delta Lake and Azure Data Lake Storage Gen2

Experience in building and optimizing query layers using Databricks SQL

Familiarity with modern CICD practices especially in the context of Databricks and cloudnative solutions

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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Worksite address

dallas, TX, 75215, US

Who can apply

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