Azure Data Engineer: ETL & Data Pipelines SME (Onsite)

Accenture PLC; Austin (TX); On-site; USD 54,000 - 68,000; Full time

Benefits offered by this job

Medical insurance

Dental insurance

Vision insurance

401(k) plan

Paid time off

Long-term disability

Job summary

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

You will collaborate with multiple teams and serve as an SME, providing guidance to the team. You will mentor junior members and stay ahead of industry trends to continuously improve data solutions within a dynamic Accenture team.

Qualifications

• Minimum of 3 or more 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.

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 for data generation, collection, and processing. You will create data pipelines, ensure data quality, and implement ETL processes to migrate and deploy data across systems.

You will collaborate with multiple teams and serve as an SME, providing guidance to the team. You will mentor junior members and stay ahead of industry trends to continuously improve data solutions within a dynamic Accenture team.