Databricks Admin & Snowflake Data Engineer

Accenture; St. Louis (MO); Presencial; USD 70.000 - 84.000; Jornada completa

Ventajas ofrecidas por este puesto de trabajo

Medical, dental, vision

401(k) plan

Paid time off

Descripción de la vacante

Accenture Flex is seeking a Data Engineer to design, develop, and maintain data solutions that support data generation, collection, and processing. You will create data pipelines, ensure data quality, and implement ETL processes to migrate and deploy data across systems.

You will act as a subject matter expert, collaborate across teams, and mentor colleagues to promote best practices in data engineering and administration.

Formación

• Minimum 4 years of work experience in Databricks Administration.
• High School Diploma/GED.
• Expert proficiency in Snowflake Platform and data engineering concepts.

Responsabilidades

• Master proficiency in Databricks Administration is required.
• Develop and optimize scalable data architectures to support evolving business needs and data strategies.
• Lead efforts to troubleshoot complex data issues and implement robust solutions to enhance system reliability.
• Collaborate with cross-functional teams to align data engineering efforts with organizational goals and project requirements.
• Support and mentor colleagues by sharing expertise and promoting best practices in data engineering and administration.
• Continuously evaluate emerging technologies and tools to improve data workflows and operational efficiency.

Conocimientos

Databricks Admin

Snowflake Platform

Data migrations

Data engineering

Data pipelines

Data processing

Educación

High School Diploma/GED

Descripción del empleo

Accenture Flex is seeking a Data Engineer to design, develop, and maintain data solutions that support data generation, collection, and processing. You will create data pipelines, ensure data quality, and implement ETL processes to migrate and deploy data across systems.

You will act as a subject matter expert, collaborate across teams, and mentor colleagues to promote best practices in data engineering and administration.