Data Engineer

At EY, you’ll have the chance to build a career as unique as you are, with the global scale, support, inclusive culture and technology to become the best version of you. And we’re counting on your unique voice and perspective to help EY become even better, too. Join us and build an exceptional experience for yourself, and a better working world for all.

EY is a global leader in assurance, tax, transaction and advisory services. Technology is at the heart of what we do and deliver at EY. Technology solutions are integrated in the client services we deliver and are key to our innovation as an organization.

Fueled by strategic investment in technology and innovation, Client Technology seeks to drive growth opportunities and solve complex business problems for our clients through building a robust platform for business and powerful product engine that are vital to innovation at scale. As part of Client Technology, you’ll work with technologists and business experts, blending EY’s deep industry knowledge and innovative ideas with our platforms, capabilities, and technical expertise. As a catalyst for change and growth, you’ll be at the forefront of integrating emerging technologies from AI to Data Analytics into every corner of what we do at EY. That means more growth for you, exciting learning opportunities, career choices, and the chance to make a real impact.

The team

< strong>This open role is for the Data and Analytics team which supports and co-ordinates the different data management activities including data research and analysis, data process optimisation, data onboarding, data processing according to guidelines, data modelling and consumption to meet the flexible business demands of the clients. There is also potential to collaborate on additional platforms and offerings within the Client Technology group.

The selected candidate
< strong>

• Need to have 7-10 years of relevant techno functional exposure to the various aspects of data analytics< li>
• Builds networks with other departments across the business to help define and deliver business value, and may interface and communicate with program teams, management and stakeholders as required to deliver small to medium-sized projects< li>
• Applies advanced process optimization concepts to be a trusted advisor for rejuvenating the as-is applications< li>
• Leads the data research on the legacy applications on need basis and provide additional support for delivering the extract, transform and load of data from disparate sources into a form that is consumable by analytics processes, for projects with moderate complexity, using strong technical capabilities< li>
• Designs, develops and produces data models of relatively high complexity, leveraging a sound understanding of data modelling standards to ensure high quality< li>
• Is flexible and willing to scale up the skills based on the changing demands
  
  < li> < ul> Your Key Responsibilities Include
  
  < strong>Responsibilities, Qualifications, Certifications - External
  
  • Designs and or applies a comprehensive collection of methods, practices, policies, tools and processes to govern and control the entire lifecycle of all the data assets of a company, ensuring their protection, governance, trusted consumption and monetization.< li>
  • Performs maturity assessments on data management capabilities, designs related organization and operating models and advises on tools and roadmaps to implement them.< li>
  • Understands and assesses business strategy in connection with the value of data at scale.< li>
  • Articulates information strategies that meet business objectives by establishing a vision and a target state for organization, people, data and technology.< li>
  • Works with other Information Management & Analysis professionals, the program team, management and stakeholders to design and build analytics solutions in a way that will deliver business value.< li>
  • Leading the production of high-quality data analysis deliverables, helping to ensure project timelines are met, and providing informal mentoring training to junior members of the team< li>
  • Supporting initiatives for data integrity and normalization.< li>
  • Analyzing the latest industry trends such as cloud computing and distributed processing and beginning to infer risks and benefits of their use in business< li>
  • Providing technical expertise to maximize value from current applications, solutions, infrastructure and emerging technologies and seek to continuously improve internal processes< li>
  • Developing working relationships with peers across other teams and beginning to collaborate to develop leading data solutions
    
    < li> < ul> Skills And Attributes For Success
    < strong>
    • Data Analytics solutioning- Hands-on experience in understanding, designing and developing analytics solution based on business requirements< li>
    • Database Architecture and Design – Exposure or knowledge in database design concepts and functional architecture< li>
    • Data Integration - Capability to design and implement models, capabilities and solutions to manage data within the enterprise (structured and unstructured, data archiving principles, data warehousing, data sourcing, etc.). This includes the data models, storage requirements and migration of data from one system to another < li>
    • Data Quality, Profiling and Cleansing - Capability to review (profile) a data set to establish its quality against a defined set of parameters and to highlight data where corrective action (cleansing) is required to remediate the data < li>
    • Data Visualisation, Data modelling - Experience in delivering the analytical solution to the business stakeholders in the form of visualisation BI Reports or data models and providing recommendations based on the analysis< li>
    • Intermediate understanding of the following tools and technologies, and how to apply them to solve business problems
      
      < li> < ul> Essential:
      < strong>
      • Experience with any of the Databases – SQL Teradata Oracle NoSQL etc< li>
      • Experience with Data Visualisation tools – Tableau PowerBI MicroStrategy etc< li>
      • Hands-on experience with atleast a couple of Conventional or Cloud based Extract, Transform, Load Tools- Alteryx Informatica Datastage Talend SSIS Azure etc.< li>
      • Good knowledge of the data transformation and or data manipulation functions< li>
      • Knowledge of Programming Languages – Java, Node.js, Python, R, SQL,SAS etc.< li>
      • Proficient in MS Office suite- Word,Excel,Powerpoint
        
        < li> < ul> Nice to have:
        < strong>
        • Certification in Data and Analytics related domain
          
          < li>< ul> Education
          < strong>
          • B.E B.Tech MCA or higher educational degree in Computer Science, Data Analytics, Data Science, Communication, Engineering, IT, Cyber Security, or related field preferred
            
            < li>< ul> What We Look For
            
            < strong>Strong analytical skills and problem-solving ability
            
            • A self-starter, independent-thinker, curious and creative person with ambition and passion< li>
            • Excellent inter-personal, communication, collaboration, and presentation skills< li>
            • Customer focused< li>
            • Excellent time management skills< li>
            • Positive and constructive minded< li>
            • Takes responsibility for continuous self-learning< li>
            • Takes the lead and makes decisions in critical times and tough circumstances< li>
            • Attention to detail< li>
            • High levels of integrity and honesty
              
              < li> < ul> What Working At EY Offers
              
              < strong>We offer a competitive remuneration package where you’ll be rewarded for your individual and team performance. Our comprehensive Total Rewards package includes support for flexible working and career development, and with FlexEY you can select benefits that suit your needs, covering holidays, health and well-being, insurance, savings and a wide range of discounts, offers and promotions. Plus, we offer:
              
              • Support, coaching and feedback from some of the most engaging colleagues around< li>
              • Opportunities to develop new skills and progress your career< li>
              • The freedom and flexibility to handle your role in a way that’s right for you
                
                < li> < ul>EY is committed to be an inclusive employer and we are happy to consider flexible working arrangements. We strive to achieve the right balance for our people, enabling us to deliver excellent client service whilst allowing you to build your career without sacrificing your personal priorities.
                
                EY | Building a better working world
                
                < strong>EY exists to build a better working world, helping to create long-term value for clients, people and society and build trust in the capital markets.
                
                Enabled by data and technology, diverse EY teams in over 150 countries provide trust through assurance and help clients grow, transform and operate.
                
                Working across assurance, consulting, law, strategy, tax and transactions, EY teams ask better questions to find new answers for the complex issues facing our world today. < div>< body>< html>
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