Azure Data Engineer: Data Pipelines & ETL SME

Accenture PLC; Orlando (FL); On-site; USD 54,000 - 66,000; Full time

Job summary

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

You will act as an SME, collaborate with teams, and mentor junior members. Responsibilities include developing innovative data solutions, implementing advanced ETL, and staying current with industry trends to continuously improve data capabilities

Qualifications

• Minimum of 3 or more years of work experience with one or more of the listed technologies.

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

You will act as an SME, collaborate with teams, and mentor junior members. Responsibilities include developing innovative data solutions, implementing advanced ETL, and staying current with industry trends to continuously improve data capabilities