Digital - Staff

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Position Name : Data Engineer

Position Level : Senior

Position Details

EY’s GDS Assurance Digital team’s mission is to develop, implement and integrate technology solutions that better serve our audit clients and engagement teams. As a member of EY’s core Assurance practice, you’ll develop a deep Audit related technical knowledge and outstanding database, data analytics and programming skills.

Ever-increasing regulations require audit departments to gather, organize and analyse more data than ever before. Often the data necessary to satisfy these ever-increasing and complex regulations must be collected from a variety of systems and departments throughout an organization. Effectively and efficiently handling the variety and volume of data is often extremely challenging and time consuming for a company.

EY's GDS Assurance Digital team members work side-by-side with the firm's partners, clients and audit technical subject matter experts to develop and incorporate technology solutions that enhance value-add, improve efficiencies and enable our clients with disruptive and market leading tools supporting Assurance.

GDS Assurance Digital provides solution architecture, application development, testing and maintenance support to the global Assurance service line both on a pro-active basis and in response to specific requests.

EY is currently seeking a Big Data Developer to join the GDS Assurance Digital practice in Bangalore, India, to work on various Microsoft technology-based projects for customers across the globe.

Qualifications

Requirements (including experience, skills and additional qualifications)

• A Bachelor's degree (BE/BTech/MCA & MBA) in Computer Science, Engineering, Information Systems Management, Accounting, Finance or a related field with adequate industry experience.
• BE/BTech/MCA with a sound industry experience of 6 to 9 years.
  
  

Technical skills requirements:

• Experience with SQL, NoSQL databases such as HBase/Cassandra/MongoDB
• Good knowledge of Big Data querying tools, such as Pig, Hive
• ETL Implementation any tool like Alteryx or Azure Data Factory etc
• Good to have experience in NiFi
• Experience in any one of the reporting tool like Power BI/Tableau/Spot fire is must
  
  

Analytical/Decision Making Responsibilities:

• An ability to quickly understand complex concepts and use technology to support data modeling, analysis, visualization or process automation
• Selects appropriately from applicable standards, methods, tools and applications and uses accordingly
• Ability to work within a multi-disciplinary team structure, but also independently
• Demonstrates analytical and systematic approach to problem solving
• Communicates fluently orally and in writing and can present complex technical information to both technical and non-technical audiences
• Able to plan, schedule and monitor work activities in to meet time and quality targets
• Able to absorb rapidly new technical information, business acumen, and apply it effectively
• Ability to work in a team environment with strong customer focus, good listening, negotiation and problem-resolution skills
  
  

Additional skills requirements:

• The expectations are that a Senior will be able to maintain long-term client relationships and network and cultivate business development opportunities
• Should have understanding and experience of software development best practices
• Must be a team player
  
  

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