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 www.accenture.com
Key Responsibilities : 1 : Build, Test and Maintain optimal data pipeline architecture2 : Assemble large, complex data sets that meet functional / non-functional business requirements3 : Work with fellow developers, data architects, data analysts and data scientists on data initiatives
Technical Experience : 1 : At least 5 years in Data Analytics or Data engineering2 : Strong hands-on experience on Python and SQL Good working experience in AWS Glue3 : AWS Lambda and AWS Step Functions4 : Good understanding of DevOps practices5 : AWS Redshift,AWS Step Function,Architect Associate Certification
Professional Attributes : 1 : Ability to multitask and prioritize2 : Excellent interpersonal skills3 : Good Communication skills and Client management skills
Educational Qualification : Btech / MCA
15 years of full time education
We have been alerted to the existence of fraudulent messages asking job seekers to set up payment to cover various costs associated with establishing employment at Accenture.
No one is ever required to pay for employment at Accenture. If you are contacted by someone asking for payment, please do not respond, and contact us at india.
fc.check accenture.com immediately.
Equal Employment Opportunity Statement
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.