Job Description

About Accenture:
Accenture is a leading global professional services company, providing a broad range of services in strategy and consulting, interactive, technology and operations, with digital capabilities across all of these services. We combine unmatched experience and specialized capabilities across more than 40 industries - powered by the world's largest network of Advanced Technology and Intelligent Operations centers. With 514,000 people serving clients in more than 120 countries, Accenture brings continuous innovation to help clients improve their performance and create lasting value across their enterprises. Visit us at

Accenture Applied Intelligence practice help our clients grow their business in entirely new ways.? Analytics enables our clients to achieve high performance through insights from data - insights that inform better decisions and strengthen customer relationships. From strategy to execution, Accenture works with organizations to develop analytic capabilities - from accessing and reporting on data to predictive modelling - to outperform the competition
As part of our Analytics practice, you will join a worldwide network of over 20,000 smart and driven colleagues experienced in leading AI/ML/Statistical tools, methods and applications. From data to analytics and insights to actions, our forward-thinking consultants provide analytically-informed, issue-based insights at scale to help our clients improve outcomes and achieve high performance.
Manager in Data Engineer

A Manager in ‘Applied intelligence (Data Engineer) –understands the importance of sound analytical decision-making, relationship of tasks to the overall project, and executes projects in the context of a business performance improvement initiative.

Duties and Responsibilities:
• Designing scalable solutions to store and retrieve a high volume of data on cloud
• Leading cross-functional projects
• Design and build technical processes
• Train, develop, and supervise data engineers
• Oversee design and delivery of projects, manage processes and people responsible for project delivery
• Architecting technical solutions related to data pipelines implementation and migration project
• Deliver project and customer success by meeting deadlines, managing expectations, and by delivering good quality solutions
• Leading and managing strong technical teams
• Work on migrating on-prem data warehouses to the cloud platform
• Assist in the development of reusable code and accelerators development
• Training and mentoring other members of the team
• Open to learning new technologies in a short duration
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Educational Background/qualifications Bachelor/master’s degree preferably in Computer Science, Computer Engineering, or related discipline Requirements: • Advanced SQL knowledge and experience of working with a variety of databases • SAS experience is a must • Hands-on experience in working with programming languages such as Python/Java/Scala • Working experience with Big Data technologies such as Hadoop, Kafka, NoSQL databases • Experience with AWS/GCP cloud deployment models • Experience in working in cloud data migration projects • Working experience in one of the cloud platform GCP/AWS/Azure is a must • Working experience with Big Query/ Snowflake/Redshift (at least one of them) • Strong ability to plan and manage processes, people, and projects simultaneously • Experience in developing data pipelines using tools such as Spark, Python, AWS Glue, Azure Data Factory • Dynamic who demonstrates a very positive attitude • Strong Analytical and Communication Skills • Excellent written and verbal communication skills

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Job candidates will not be obligated to disclose sealed or expunged records of conviction or arrest as part of the hiring process.

Accenture is committed to providing veteran employment opportunities to our service men and women.

COVID-19 update:  The safety and well-being of our candidates, our people and their families continues to be a top priority. Until travel restrictions change, interviews will continue to be conducted virtually. 

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