Azure Data Engineer — Build Scalable ETL & Data Pipelines

Accenture PLC; Chicago (IL); On-site; USD 53,000 - 67,000; Full time

Job summary

Accenture Flex is hiring 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, acting as an SME and guiding the team.

You will collaborate with multiple teams, provide solutions to complex problems, mentor junior members, and stay current with industry trends to continuously improve data platforms.

Qualifications

• 3+ years of experience with Databricks, Pyspark, or Azure data services.
• Experience with ETL design and data pipelines.
• Ability to collaborate with cross-functional teams and mentor juniors.

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 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

Data engineering

Tools

Databricks

Pyspark

Azure Data Factory

Azure Synapse

Delta live tables

Azure Function Apps

Job description

Accenture Flex is hiring 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, acting as an SME and guiding the team.

You will collaborate with multiple teams, provide solutions to complex problems, mentor junior members, and stay current with industry trends to continuously improve data platforms.