Azure Data Engineer: Pipelines, ETL & Data Quality

Accenture PLC; New York (NY); Hybrid; USD 54,000 - 66,000; Full time

Benefits offered by this job

Medical coverage

Dental coverage

Vision coverage

Long-term disability coverage

401(k) plan

Paid time off

Job summary

Accenture Flex is seeking a Data Engineer to design, develop, and maintain data solutions, focusing on data generation, collection, and processing. You will create pipelines, ensure data quality, and implement ETL processes across systems while acting as a subject-matter expert and mentoring teammates.

You will engage with multiple teams, contribute to key decisions, and stay abreast of industry trends to continuously improve data solutions.

Qualifications

• 3+ years of experience with Databricks, Pyspark, or the listed Azure data services.
• Experience designing data pipelines and ETL processes.
• Ability to collaborate across teams and mentor junior members.

Responsibilities

• Design, develop, and maintain data solutions for generation, collection, and processing.
• Create data pipelines and ensure data quality across systems.
• Implement ETL processes to migrate and deploy data effectively.
• Provide technical guidance and collaborate with multiple teams on key decisions.

Skills

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, focusing on data generation, collection, and processing. You will create pipelines, ensure data quality, and implement ETL processes across systems while acting as a subject-matter expert and mentoring teammates.

You will engage with multiple teams, contribute to key decisions, and stay abreast of industry trends to continuously improve data solutions.