Databricks Admin & Data Engineering Specialist

Accenture PLC; Detroit (MI); Presencial; USD 70.000 - 84.000; Jornada completa

Descripción de la vacante

Accenture Flex is seeking a Data Engineer to design, develop, and maintain data solutions supporting 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 lead and mentor teams, collaborate across departments, and continuously evaluate new technologies to improve data workflows and reliability. Location-based onsite work in the local metro area is expected.

Formación

• Minimum 4 years of work experience in Databricks Administration.
• High School Diploma/GED.

Responsabilidades

• Master proficiency in Databricks Administration is required. Expert proficiency in Snowflake (Platform) is recommended. Expert proficiency in Data Migrations, Data Engineering, Data Pipelines, and Data Processing is suggested.
• 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 Administration

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 supporting 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 lead and mentor teams, collaborate across departments, and continuously evaluate new technologies to improve data workflows and reliability. Location-based onsite work in the local metro area is expected.