Data Engineering Product Owner – Gurugram

Accenture

  • Full Time

To apply for this job please visit www.accenture.com.

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 www.accenture.com
Project Role :Product Owner
Project Role Description :Drives the vision for the software product that is to be built and maintained. Serves as functional or client needs expert for software product. In an Agile environment, work with the Scrum Master and other project management to ensure stakeholder satisfaction and return on investment; has a significant role in quality and is the only team member empowered to accept stories as complete
Management Level :10
Work Experience :4-6 years
Work location :Gurugram
Must Have Skills :Data Engineering
Good To Have Skills :No Technology Specialization
Job Requirements :
Key Responsibilities : 1 Tackle the exponentially growing task of wrangling, orchestrating, and scripting processes to pull in external raw data 2 This data is used to perform research, build products, create insight, share information 3 Familiar with best practices on data scraping 4 Build reporting to communicate status, progress, per critical pipelines and volume 5 Establish mature industry-proven data engineering best practices on leading cloud platforms,be able to quickly adapt to a wide variety of industry data

Technical Experience : 6 years working as an enterprise-level data engineer 2 ETL: Azure Data Factory, Airflow, AWS data pipeline, SSIS 3 Cloud Storage: Azure Data lake, blobs, S3 4 Cloud Services: Azure functions, lambda functions, Data lake analytics 5 Databases: Azure SQL, mongo db, Azure Synapse, Neo4j, SQL server 6 Big Data tools: Data Bricks/ spark, Kafka 7 Languages: Python, Java, Scala, SQL

Professional Attributes : 1 communication, 2 leadership skills, 3 team handling skills, 4 analytical skills, 5 presentation skills

Educational Qualification : B Tech

Job Overview