Databricks Admin & Snowflake Data Engineer

Accenture PLC; Irving (TX); Vor Ort; USD 70.000 - 84.000; Vollzeit

Benefits dieser Stelle

Medical insurance

Dental insurance

Vision care

401(k) plan

Paid time off

Zusammenfassung

Accenture Flex is seeking a Data Engineer to design, build, and maintain data solutions that support data generation, collection, and processing. You will create data pipelines, ensure data quality, and implement ETL processes across systems, while coordinating with teams and providing guidance in data engineering best practices.

The role emphasizes hands-on data architecture work, collaboration with multiple teams, and staying current with evolving data technologies to drive project success.

Qualifikationen

• Minimum 4 years of work experience in Databricks Administration.
• High School Diploma or GED required.
• Expert proficiency in Snowflake Platform preferred.
• Expert proficiency in Data Migrations, Data Engineering, Data Pipelines and Data Processing recommended.

Aufgaben

• Master proficiency in Databricks Administration and Snowflake Platform; lead data engineering efforts.
• Develop and optimize scalable data architectures to support evolving business needs.
• Troubleshoot complex data issues and implement robust solutions for reliability.
• Collaborate with cross-functional teams to align data work with project goals.
• Mentor colleagues and promote best practices in data engineering and administration.
• Continuously evaluate emerging technologies to improve data workflows.

Kenntnisse

Databricks Administration

Snowflake Platform

Data Migrations

Data Engineering

Data Pipelines

Data Processing

Ausbildung

High School Diploma/GED

Jobbeschreibung

Accenture Flex is seeking a Data Engineer to design, build, and maintain data solutions that support data generation, collection, and processing. You will create data pipelines, ensure data quality, and implement ETL processes across systems, while coordinating with teams and providing guidance in data engineering best practices.

The role emphasizes hands-on data architecture work, collaboration with multiple teams, and staying current with evolving data technologies to drive project success.