Azure Data Engineer — ETL & Data Pipeline SME

Accenture PLC; Seattle (WA); On-site; USD 53,000 - 67,000; Full time

Benefits offered by this job

Medical insurance

Dental insurance

Vision coverage

401(k) plan

Paid time off

Job summary

Accenture Flex in Seattle is seeking a Data Engineer to design, build, and maintain data solutions for data generation, collection, and processing. Your main tasks will include creating data pipelines, ensuring data quality, and implementing ETL processes to migrate data across systems.

You will be an SME, collaborate with multiple teams, and mentor junior members. This role requires hands-on expertise with Databricks, PySpark, and Azure data services, and a proactive approach to stay ahead of

Qualifications

• Minimum of 3+ years of work experience with one or more of the following: Databricks, Pyspark, Azure Data Factory, Azure Synapse, Delta live tables, 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.

Tools

Databricks

Pyspark

Azure Data Factory

Azure Synapse

Delta live tables

Azure Function Apps

Job description

Accenture Flex in Seattle is seeking a Data Engineer to design, build, and maintain data solutions for data generation, collection, and processing. Your main tasks will include creating data pipelines, ensuring data quality, and implementing ETL processes to migrate data across systems.

You will be an SME, collaborate with multiple teams, and mentor junior members. This role requires hands-on expertise with Databricks, PySpark, and Azure data services, and a proactive approach to stay ahead of