Azure Data Engineer: Data Pipelines & ETL SME

Accenture PLC; Detroit (MI); On-site; USD 53,000 - 67,000; Full time

Benefits offered by this job

Health insurance

Job summary

Accenture Flex in Detroit is seeking a Data Engineer to design, develop, and maintain data solutions, pipelines, and ETL processes. You will act as an SME, collaborate with multiple teams, and mentor junior staff while ensuring data quality and scalable deployments.

The role focuses on building data generation, collection, and processing capabilities using Databricks, Pyspark, and Azure services in an on-site setting with Accenture's local teams.

Qualifications

• Minimum of 3+ years of work experience with Databricks, Pyspark, Azure Data Factory, Azure Synapse, Delta live tables, or Azure Function Apps.

Responsibilities

• Develop innovative data solutions to optimize data generation, collection, and processing.
• Implement advanced ETL processes to ensure efficient data migration and deployment.
• Collaborate with cross-functional teams to identify and address data quality issues.
• Stay updated with the latest industry trends and technologies to continuously improve data solutions.
• Provide technical guidance and mentorship to junior team members.

Skills

Databricks

Pyspark

Azure Data Factory

Azure Synapse

Delta live tables

Azure Function Apps

Job description

Accenture Flex in Detroit is seeking a Data Engineer to design, develop, and maintain data solutions, pipelines, and ETL processes. You will act as an SME, collaborate with multiple teams, and mentor junior staff while ensuring data quality and scalable deployments.

The role focuses on building data generation, collection, and processing capabilities using Databricks, Pyspark, and Azure services in an on-site setting with Accenture's local teams.