Azure Data Engineer | ETL & Analytics SME

Accenture; Seattle (WA); On-site; USD 66,000 - 79,000; Full time

Benefits offered by this job

Medical insurance

Dental insurance

Vision insurance

Long-term disability

401(k)

Paid time off

Job summary

Accenture Flex is seeking a Data Engineer to design, develop, and maintain data solutions for data generation, collection, and processing. You will build data pipelines, ensure data quality, and implement ETL processes to migrate and deploy data across systems.

You will act as an SME, collaborate with multiple teams, and guide junior members. You will work onsite at client projects, leveraging your expertise to drive solutions and participate in key decisions while staying current with industry

Qualifications

• 3+ years of work experience in data engineering or a related field.
• Strong experience with data pipelines, ETL processes, and data quality.
• Familiarity with cloud data services and distributed processing platforms.

Responsibilities

• Design, develop, and maintain data solutions for data generation, collection, and processing.
• Create data pipelines and implement ETL across systems.
• Ensure data quality and participate in team discussions to drive decisions.
• Collaborate with cross-functional teams to address data challenges and stay current with industry trends.
• 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 is seeking a Data Engineer to design, develop, and maintain data solutions for data generation, collection, and processing. You will build data pipelines, ensure data quality, and implement ETL processes to migrate and deploy data across systems.

You will act as an SME, collaborate with multiple teams, and guide junior members. You will work onsite at client projects, leveraging your expertise to drive solutions and participate in key decisions while staying current with industry