Senior Data Warehouse Engineer

TPI Global Solutions; Austin (TX); Hybrid; USD 100,000 - 150,000; Full time

Job summary

A technology solutions company in Austin, TX is seeking a Senior Data Warehouse Engineer to design, build, and maintain data pipelines within an Azure ecosystem. The ideal candidate will have a strong background in data engineering with over 5 years of experience, along with expertise in Databricks and ETL processes. This contract position offers a hybrid work model and requires proficiency in Python and SQL.

Qualifications

• Minimum of 5 years of experience in a Data Engineering role.
• Strong expertise in the Azure data ecosystem.
• Experience with ETL and ELT processes and tools.

Responsibilities

• Design, build, and maintain efficient and reliable data pipelines.
• Work closely with Azure Data Lake Storage, Azure Databricks, and Azure Data Explorer.
• Collaborate with data scientists and analysts for support.

Skills

Python

SQL

Azure Data Lake Storage

Databricks Data Warehouse

ETL processes

Data Warehousing principles

Education

Bachelor's or master's degree in computer science, Engineering, or a related field

Tools

Databricks

Azure Databricks

Azure Data Explorer

Power BI

Job description

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Talent Acquisition Professional, Hiring Candidates for Semiconductor & Automotive Domain (DV, PD, RTL, ASIC, FPGA, PCB,Layout,Storage,Firmware,Device…

Note: This is W2 only role, C2C candidate please excuse, Candidates who are looking for sponsership please excuse

Title: Senior Data Warehouse Engineer

Duration: 12- months

Location: Austin, TX - Hybrid (Onsite 3 days a week)

Interviews:

• One screening call, followed by 2 interviews with a panel.
• Virtual interviews are fine and needs to be a video interview.
• Candidate also needs to be at a place where there is good connectivity.
• Databricks Data Warehouse and a solid understanding of data warehousing principles
• Develop and maintain scalable ETL (Extract, Transform, Load) and ELT (Extract, Load, Transform) processes
• Programming skills in languages such as Python, SQL, Scala, or Java - Python and SQL are the most important
• Power BI knowledge would be beneficial, but is not a requirement

Responsibilities:

• Design, build, and maintain efficient and reliable data pipelines to move and transform data (both large and small amounts) within our Azure ecosystem.
• Work closely with Azure Data Lake Storage, Azure Databricks, and Azure Data Explorer to manage and optimize data processes.
• Develop and maintain scalable ETL (Extract, Transform, Load) and ELT (Extract, Load, Transform) processes.
• Ensure the seamless integration and compatibility of data solutions with Databricks Unity Catalog Data Warehouse and adhere to general data warehousing principles.
• Collaborate with data scientists, analysts, and other stakeholders to support data-centric needs.
• Implement data governance and quality processes, ensuring data integrity and compliance.
• Optimize data flow and collection for cross-functional teams.
• Provide technical leadership and mentorship to junior team members.
• Stay current with industry trends and developments in data architecture and processing.

Requirements:

• Bachelor’s or master’s degree in computer science, Engineering, or a related field.
• Minimum of 5 years of experience in a Data Engineering role.
• Strong expertise in the Azure data ecosystem, including Azure Data Lake Storage, Azure Databricks, and Azure Data Explorer.
• Proficient in Databricks Data Warehouse and a solid understanding of data warehousing principles.
• Experience with ETL and ELT processes and tools.
• Strong programming skills in languages such as Python, SQL, Scala, or Java.
• Experience with data modeling, data access, and data storage techniques.
• Ability to work in a fast-paced environment and manage multiple projects simultaneously.
• Excellent problem-solving skills and attention to detail.
• Strong communication and teamwork skills.

Seniority level

• Seniority level

  Mid-Senior level

Employment type

• Employment type

  Contract

Job function

• Job function

  Information Technology

• Industries

  Semiconductor Manufacturing and Computers and Electronics Manufacturing

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