Azure Data Engineer — ETL, Pipelines & Data Quality

Accenture; Orlando (FL); On-site; USD 48,000 - 80,000; Full time

Benefits offered by this job

Competitive rewards

Job summary

Accenture Flex is seeking a Data Engineer to design, develop, and maintain data solutions, build data pipelines, ensure data quality, and implement ETL processes across systems. You will be an SME and mentor teammates while collaborating with multiple teams to drive data-driven decisions.

The role emphasizes leadership in scalable data architecture and data governance, with onsite work in the Orlando area and a competitive rewards package.

Qualifications

• Minimum of 3 or more years of work experience with one or more of the listed technologies: 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 is seeking a Data Engineer to design, develop, and maintain data solutions, build data pipelines, ensure data quality, and implement ETL processes across systems. You will be an SME and mentor teammates while collaborating with multiple teams to drive data-driven decisions.

The role emphasizes leadership in scalable data architecture and data governance, with onsite work in the Orlando area and a competitive rewards package.