Azure Databricks Engineer

Cloud Analytics Technologies, LLC; Houston (TX); On-site; USD 90,000 - 120,000; Full time

Job summary

A cloud data solutions firm in Houston seeks a Specialist with over 7 years of experience in designing and developing scalable data solutions using Azure Databricks. Responsibilities include optimizing data pipelines, implementing ETL workflows, and collaborating with cross-functional teams to align data solutions with business objectives. Candidates should be proficient in PySpark and Python, and expected to mentor junior team members and document workflows for knowledge sharing.

Qualifications

• 7 years of experience in designing and developing scalable data solutions using Azure Databricks.
• Experience with implementing and maintaining ETL workflows.
• Proficiency in writing maintainable PySpark and Python code.

Responsibilities

• Design, develop, and optimize scalable data pipelines using Azure Databricks.
• Implement and maintain ETL workflows for performance and reliability.
• Collaborate with teams to align data solutions with business needs.

Skills

Azure Databricks

Data pipeline optimization

PySpark

Data integration

ETL workflows

Job description

Seeking a Specialist with 7 years of experience in designing and developing scalable data solutions using Azure Databricks

Roles and Responsibilities

• 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.
• 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.

Equal Opportunity Employer

CLOUD ANALYTICS 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. CLOUD ANALYTICS 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 CLOUD ANALYTICS 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.