Azure Databricks Engineer

Ethereum Technologies LLC; Houston (TX); On-site; USD 100,000 - 140,000; Full time

Job summary

A leading technology firm in Houston seeks a Specialist to design and develop scalable data solutions leveraging Azure Databricks. The ideal candidate should have at least 7 years of relevant experience in data engineering, specifically with Azure Databricks. Responsibilities include leading the development of data pipelines, writing efficient PySpark and Python code, and mentoring junior engineers. This role offers the chance to work on enterprise-level data processing while promoting best practices in a collaborative team environment.

Qualifications

• 7 years of experience in designing and developing scalable data solutions.
• Expertise in Azure Databricks and data engineering principles.
• Ability to document data processes and pipelines.

Responsibilities

• Lead the design and development of complex data pipelines using Azure Databricks.
• Write clean, maintainable PySpark and Python code.
• Troubleshoot data pipelines and ensure high availability.
• Collaborate with stakeholders to gather requirements.
• Mentor junior team members on best practices.

Skills

Azure Databricks

PySpark

Python

ETL workflows

Data modeling

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

ETHEREUM 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. ETHEREUM 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 ETHEREUM 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