Azure Data Engineer - Build Scalable Data Pipelines & ETL

Accenture PLC; Arlington (VA); On-site; USD 54,000 - 68,000; Full time

Job summary

Accenture is seeking a Data Engineer to design and build data pipelines, ensure data quality, and deploy ETL processes across multiple platforms. You will act as an SME, collaborate with cross-functional teams, and provide guidance to junior members while supporting data generation and processing initiatives.

The role emphasizes on-site work in the local metro area with Accenture Flex, offering competitive benefits and opportunities to work with cutting-edge technologies.

Qualifications

• 3+ years of experience with Databricks, PySpark, and Azure data services.
• Strong experience building scalable data pipelines and ETL processes.

Responsibilities

• Design, develop, and maintain data solutions for generation, collection, and processing.
• Create and optimize data pipelines and ETL processes across systems.
• Ensure data quality and governance across data platforms.
• Provide SME guidance and mentorship to junior team members.

Skills

Databricks

PySpark

Azure Data Factory

Azure Synapse

Delta Live Tables

Azure Function Apps

Job description

Accenture is seeking a Data Engineer to design and build data pipelines, ensure data quality, and deploy ETL processes across multiple platforms. You will act as an SME, collaborate with cross-functional teams, and provide guidance to junior members while supporting data generation and processing initiatives.

The role emphasizes on-site work in the local metro area with Accenture Flex, offering competitive benefits and opportunities to work with cutting-edge technologies.