Azure Databricks Engineer

MACHINE LEARNING TECHNOLOGIES LLC; Houston (TX); On-site; USD 137,760 - 179,088; Full time

Job summary

MACHINE LEARNING TECHNOLOGIES LLC is looking for an Azure Databricks Engineer in Houston, TX. This role requires 7 years of experience in designing scalable data solutions using Azure Databricks.

The engineer will lead the development of data pipelines, troubleshoot issues, and mentor junior members. The ideal candidate should have strong skills in PySpark and Python, as well as experience integrating with various Azure data services. A competitive hourly rate will be offered based on experience.

Qualifications

• 7 years of experience designing and developing data solutions using Azure Databricks.
• Experience with PySpark and Python coding.
• Ability to integrate Azure Databricks with Azure data services.

Responsibilities

• Lead design, development, and enhancement of data pipelines using Azure Databricks.
• Troubleshoot issues related to data pipelines for high availability.
• Mentor junior team members on best practices in data engineering.

Skills

Databricks

Job description

Job Overview

• Job ID: J52731
• Job Title: Azure Databricks Engineer
• Location: Houston, TX
• Duration: 24 Months + Extension
• Hourly Rate: 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

Job Description

Seeking a Specialist with 7 years of experience in designing and developing scalable data solutions using Azure Databricks. Design, develop and optimize scalable data pipelines leveraging Azure Databricks to support enterprise level data processing and analytics. Implement and maintain ETL workflows ensuring high performance, data quality and reliability. Integrate Azure Databricks with various Azure data services to build robust and scalable data platforms. Monitor and optimize data workflows for scalability, cost effectiveness and operational efficiency. Collaborate with cross functional teams to align data solutions with business objectives and technical requirements. Stay updated with the latest advancements in Azure Databricks and recommend best practices for continuous improvement.

Roles and Responsibilities

• Lead the design, development and enhancement of complex data pipelines using Azure Databricks.
• Write clean, maintainable and efficient PySpark and Python code to support data ingestion, transformation and analytics.
• Troubleshoot and resolve issues related to data pipelines and workflows to ensure minimal downtime and high availability.
• Collaborate with data architects, analysts and stakeholders to gather requirements and deliver scalable data solutions.
• Mentor and guide junior team members on Azure Databricks and best practices in data engineering.
• Document data processes, architectures and workflows to ensure knowledge sharing and compliance.
• Participate actively in design discussions, code reviews and agile ceremonies to foster a collaborative and high performing team environment.

Mandatory Skills

• Databricks

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.