at Accenture in Chicago, Illinois, United States
Job Description
Accenture Flex offers you the flexibility of local fixed-duration project-based work powered by Accenture, a leading global professional services company. Accenture is consistently recognized on FORTUNE’s 100 Best Companies to Work for and Diversity Inc’s Top 50 Companies for Diversity lists.
As an Accenture Flex employee, you will apply your skills and experience to help drive business transformation for leading organizations and communities. In addition to delivering innovative solutions for Accenture’s clients, you will work with a highly skilled, diverse network of people across Accenture businesses who are using the latest emerging technologies to address today’s biggest business challenges. You will receive competitive rewards and access to benefits programs and world-class learning resources. Accenture Flex employees work in their local metro area onsite at the project, significantly reducing and/or eliminating the demands to travel.Key Responsibilities:
+ As a Data Engineer, you will be responsible for designing, developing, and maintaining data solutions for data generation, collection, and processing
+ Your day to day activities will include creating data pipelines, ensuring data quality, and implementing ETL extract, transform, and load processes to migrate and deploy data across systems
+ You are expected to be an SME, collaborate and manage the team to perform, and be responsible for team decisions
+ Additionally, you will engage with multiple teams and contribute to key decisions, as well as provide solutions to problems for your immediate team and across multiple teams
+ Advanced proficiency in Data Migrations is required
+ Advanced proficiency in Data Access, Data Engineering, Data Pipelines, and Data Processing are recommended
+ 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 data engineering technologies and best practices
+ Contribute to the continuous improvement of data management processes and methodologies
Basic Qualifications:
+ Minimum 4 years experience with Python, GIT, SQL, Databricks and experience with Security Lake Data Pipeline
+ Ability to work in Ireland Time Zone (IST)
+ High School Diploma or GED
Compensation at Accenture varies depending on a wide array
To view full details and how to apply, please login or create a Job Seeker account