Azure Databricks Engineer

Job Overview

Job ID: J52731
Location: Houston, TX
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

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

Benefits

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.