Databricks Admin Specialist - Data Pipelines & Snowflake

Accenture PLC; City of Albany (NY); Presencial; USD 70.000 - 84.000; Jornada completa

Ventajas ofrecidas por este puesto de trabajo

Medical

Dental

Vision

401(k)

Paid time off

Long-term disability

Descripción de la vacante

Accenture Flex offers a local fixed-duration, project-based work model within Accenture. As a Data Engineer, you will design, develop, and maintain data solutions, build data pipelines, ensure data quality, and guide a team across multiple projects.

You will collaborate with cross-functional teams, implement ETL processes, and continuously evaluate emerging technologies to improve data workflows and efficiency.

Formación

• Minimum 4 years of work experience in Databricks Administration.
• High School Diploma/GED.
• Preferred: expert proficiency in Snowflake Platform.
• Preferred: expert proficiency in Data Migrations, Data Engineering, Data Pipelines, and Data Processing.

Responsabilidades

• Master proficiency in Databricks Administration is required. Expert proficiency in Snowflake is recommended.
• 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

Team leadership

Mentoring

Collaboration

Problem solving

Educación

High School Diploma/GED

Herramientas

Databricks

Snowflake

Descripción del empleo

Accenture Flex offers a local fixed-duration, project-based work model within Accenture. As a Data Engineer, you will design, develop, and maintain data solutions, build data pipelines, ensure data quality, and guide a team across multiple projects.

You will collaborate with cross-functional teams, implement ETL processes, and continuously evaluate emerging technologies to improve data workflows and efficiency.