Data Engineer (Mid-level to Senior)

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 506,000 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.

What you get to do in this role:

• Gathering requirements and specifications from users / business stake holders.

• Need to have skill and experience to transform source data and target data by ETL tool (Extract - Transform - Load) as well as transform target data to source data.

• Perform feasibility, impact analysis and suitable solutions based on the use cases.

• Ensuring data management and governance to maintain the data integrity.

• Develop data mappings to extract the data from XML/Database and loading to the source stating database tables.

Job requirements:

• Degree in Computer Science/IT or equivalent.

• At least 5 years' professional experience/knowledge of SQL, Databricks, Data Warehouse, Data Lake, Azure Cloud (Optional)

• Relevant working experience in ETL.

• Preferred knowledge and experience for Oracle Data Integration Cloud or Business object or IBM Data Stage.

• Knowledge in the Data Warehousing Domain.

• Good exposure to different Data Modelling techniques.

• Familiar with Waterfall & Agile methodologies.

• Understand different interface files.

• Strong written and communication skills.