Design, implement, and continuously expand data pipelines by performing extraction, transformation, and loading (ETL) activities
Gather requirements and business process knowledge to transform data in ways that meet end-user needs
Create new SDLC processes as needed and maintain and improve existing processes
Ensure data architecture is scalable and maintainable
Collaborate with business stakeholders and colleagues to design and deliver accurate, high-quality data
Investigate data to identify potential issues within ETL pipelines, notify end users, and propose effective solutions
Prepare and maintain documentation for future reference
Additional duties as assigned

Requirements

Advanced SQL proficiency (query performance tuning, index maintenance, etc.) and understanding of database structures
Strong knowledge of data modeling principles
Deep expertise in Azure Databricks (3+ years of experience required)
Deep expertise in Python (3+ years of experience required)
Knowledge of various SQL/NoSQL data storage mechanisms and Big Data technologies
Bachelor’s degree or equivalent preferred
High attention to detail
Strong organizational skills, including time management and planning
Passion for complex data structures and problem-solving

Benefits

Applicant Tracking System Keywords

Tip: use these terms in your resume and cover letter to boost ATS matches.

SQLETLdata modelingAzure DatabricksPythonSQL/NoSQLBig Data technologiesquery performance tuningindex maintenance

attention to detailorganizational skillstime managementplanningproblem-solving

Bachelor’s degree