Data Engineering Manager
LOCATIONS:
Are you a passionate Data Engineer with deep next generation Analytics skills including skills such as Data Modeling, Business Intelligence and Data Management Are you interested in taking on today’s biggest, most complex business challenges using the latest data and analytics technologies
Here at Accenture, we are changing the world through the most advanced Data and Analytics solutions on the planet! Want to be a part of it If you are about solving exciting problems and shaping the future of technology, we would love to talk with you.
Accenture works with the world’s largest companies and government agencies to enable innovation at scale using cloud-based technologies. We are the leading systems integrator for all the major cloud providers including Amazon Web Services, Microsoft Azure, and Google Cloud Platform and we work with over 90% of Fortune 100 companies.
Accenture is also committed to developing your skills and providing support to shape and grow your future. Our employees agree, as we have been consistently recognized on Fortune's 100 Best Companies To Work For list for 10 consecutive years.
For now, all Accenture business travel, international and domestic, is currently restricted to client-essential sales/delivery activity only.
Please note: The safety and well-being of our people continues to be the top priority, and our decisions around travel are informed by government COVID-19 response directives, recommendations from leading health authorities and guidance from a number of infectious disease experts.
Basic Qualifications:
- Minimum of 6 years of combined data, analytics and strategic consulting experience
- Experience in data migration from on-prem to cloud. Multi-Cloud experience – AWS/Azure/Google a plus
- Minimum of 6 years of hands-on experience on one or more of these technologies –Python, Scala, Spark, PySpark
- Database design and performance optimization with multiple databases (relational data stores – RDS, Aurora; NoSQL data stores – DynamoDB; data warehouses –Teradata, Redshift, snowflake; graph databases)
- Data architecture (Understanding logical ways of organizing and analyzing data and how this affects building databases, APIs, and UIs)
- Minimum of five years of experience in one or more of the following areas:- Business Translator (identifying business problem, initiative, analytics intervention, data science management, data science interpretation, storytelling)
- Data & Analytics Transformation (current state assessment, strategy development, value case, roadmap, and blueprint)
- Process Automation, Machine Learning, and Artificial Intelligence practices (knowledge of how advancing digital tools and techniques are applied in enterprise data and analytics strategies and roadmaps)
- A Bachelor’s Degree or equivalent work experience (12 years) or an Associate’s Degree with 6 years of work experience
Preferred Qualifications:
- Create a value chain to help address the challenges of acquiring data, evaluating its value, distilling & analyzing
- Lead data modeling activities to capture and model data requirements, business rules, and logical and physical models
- 2 years of Experience writing REST or GraphQL APIs
- Infrastructure as Code (Terraform or similar technology)
- Experience working with large data sets in distributed data environments
- Experience with containerization platforms a plus, such as Docker, Kubernetes
- Work in an agile CI/CD environment, (Jenkins/Ansible experience a plus)
- Experience using TDD and unit testing as part of normal software development using packages such as Postman, Jest, JUnit, PyUnit, Swagger, etc.
- Understand and used Object Orientated design techniques
What We Believe
We have an unwavering commitment to diversity with the aim that every one of our people has a full sense of belonging within our organization. As a business imperative, every person at Accenture has the responsibility to create and sustain an inclusive environment.
Inclusion and diversity are fundamental to our culture and core values. Our rich diversity makes us more innovative and more creative, which helps us better serve our clients and our communities. Read more here
Equal Employment Opportunity Statement
Accenture is an Equal Opportunity Employer. We believe that no one should be discriminated against because of their differences, such as age, disability, ethnicity, gender, gender identity and expression, religion or sexual orientation.
All employment decisions shall be made without regard to age, race, creed, color, religion, sex, national origin, ancestry, disability status, veteran status, sexual orientation, gender identity or expression, genetic information, marital status, citizenship status or any other basis as protected by federal, state, or local law.
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For details, view a copy of the Accenture Equal Opportunity and Affirmative Action Policy Statement.
Requesting An Accommodation
Accenture is committed to providing equal employment opportunities for persons with disabilities or religious observances, including reasonable accommodation when needed. If you are hired by Accenture and require accommodation to perform the essential functions of your role, you will be asked to participate in our reasonable accommodation process. Accommodations made to facilitate the recruiting process are not a guarantee of future or continued accommodations once hired.
If you would like to be considered for employment opportunities with Accenture and have accommodation needs for a disability or religious observance, please call us toll free at 1 (877) 889-9009, send us an email or speak with your recruiter.
Other Employment Statements
Applicants for employment in the US must have work authorization that does not now or in the future require sponsorship of a visa for employment authorization in the United States.
Candidates who are currently employed by a client of Accenture or an affiliated Accenture business may not be eligible for consideration.
Job candidates will not be obligated to disclose sealed or expunged records of conviction or arrest as part of the hiring process.
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