Azure Databricks Engineer

Cloud Analytics Technologies, LLC; Houston (TX); On-site; USD 110,000 - 170,000; Full time

Job summary

Cloud Analytics Technologies, LLC seeks a Specialist with 7 years of experience in designing and developing scalable data solutions using AzureDatabricks. You will lead the design and optimization of data pipelines for enterprise‑level analytics, leveraging Azure Databricks with other Azure data services and ensuring data quality and reliability.

The role requires strong PySpark and Python coding skills, experience with ETL workflows, and collaboration across cross‑functional teams to align data

Qualifications

• 7 years of experience designing scalable data solutions on AzureDatabricks.
• Hands‑on expertise in building data pipelines, ETL workflows and analytics.
• Proficient in PySpark, Python and cloud data services; able to optimize performance and cost.

Responsibilities

• Lead design, development and optimization of scalable datapipelines using AzureDatabricks.
• Write clean PySpark and Python code for data ingestion, transformation, and analytics.
• Troubleshoot pipelines, ensure high availability and data quality; collaborate with stakeholders.

Skills

Azure Databricks

PySpark

Python

Education

Bachelor's degree in a related field

Tools

Databricks

Job description

Seeking a Specialist with 7 years of experience in designing and developing scalabledatasolutions using AzureDatabricks

Design develop and optimize scalabledatapipelines leveraging AzureDatabricksto support enterprise leveldataprocessing andanalyticsImplement and maintain ETL workflows ensuring high performancedataquality and reliability Integrate AzureDatabrickswith various Azuredataservices to build robust and scalabledataplatforms Monitor and optimizedataworkflows for scalability cost effectiveness and operational efficiency Collaborate with cross functional teams to aligndatasolutions with business objectives and technical requirements Stay updated with the latest advancements in AzureDatabricksand recommend best practices for continuous improvement

Roles and Responsibilities

Lead the design development and enhancement of complexdatapipelines using AzureDatabricksWrite clean maintainable and efficient PySpark and Python code to supportdataingestion transformation andanalyticsTroubleshoot and resolve issues related todatapipelines and workflows to ensure minimal downtime and high availability Collaborate withdataarchitectsanalystsand stakeholders to gather requirements and deliver scalabledatasolutions Mentor and guide junior team members on AzureDatabricksand best practices indataengineering Documentdataprocesses architectures and workflows to ensure knowledge sharing and compliance Participate actively in design discussions code reviews and agile ceremonies to foster a collaborative and highperforming team environment

CLOUD ANALYTICS TECHNOLOGIES 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 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 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

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

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