EY EY - GDS Consulting Senior Manager 

India, Kerala, Thiruvananthapuram 

771362984

We’re looking for a candidate with 13+ years with strong architect expertise into Hybrid Cloud Data Engineering Platforms– Azure, AWS or GCP

Your key responsibilities

• Design, Develop, maintain and enhance data engineering solutions on Cloud Platforms
• Migrating mission-critical database applications from on-premise to cloud or running a hybrid cloud environment for large enterprises.
• Lead and mentor a team throughout design, development and delivery phases and keep the team intact on high pressure situations.
• Design highly scalable data engineering solutions on any of the cloud platforms – Amazon Web Services, Azure and Google Cloud Platform
• Perform business/data analysis to investigate into various business problems and propose the solution working closely with clients and team
• Get involved in business development activities like creating proof of concepts (POCs), point of views (POVs), assist in proposal writing and service offering development, and capable of developing creative power point content for presentations
• Interface and communicate with the onsite teams directly to understand the requirement and determine the optimum solutions
• Provide product and design level functional and technical expertise along with best practices
• Ability to think clearly, plan effectively, organize and develop action plans leading to resolving problems and achieving specific goals

Skills and attributes for success

• Use an issue-based approach to deliver growth, market and portfolio strategy engagements for corporates
• Strong communication, presentation and team building skills and experience in producing high quality reports, papers, and presentations.
• Experience in executing and managing research and analysis of companies and markets, preferably from a commercial due diligence standpoint.

To qualify for the role, you must have

• BE/BTech/MCA with 13+ years of IT development experience
• Extensive experience on design, architecting, developing and implementing data engineering solutions on any of the public cloud platform – AWS, Azure and GCP
• Experience of Big Data technologies and solutions (Spark, Hadoop, Hive, MapReduce) and multiple scripting and languages (YAML, Python).
• Experience building and coding applications using Spark, Kafka, Storm, HDFS, Hbase, Hive, Sqoop etc.
• Experience in cloud architecture building real- time data pipelines and scaling data transformations
• Knowledge of Data Architecture, Data Modelling and adopting best practices and policies in the Data Management space
• Experience in databases, data warehousing and high-performance computing environments.
• Experience with scripting, automation and SQL/PL-SQL and high-level languages such as Python and Java.

What we look for

• A Team of people with commercial acumen, technical experience and enthusiasm to learn new things in this fast-moving environment
• An opportunity to be a part of market-leading, multi-disciplinary team of 1400 + professionals, in the only integrated global transaction business worldwide.
• Opportunities to work with EY Consulting practices globally with leading businesses across a range of industries

You get to work with inspiring and meaningful projects. Our focus is education and coaching alongside practical experience to ensure your personal development. We value our employees and you will be able to control your own development with an individual progression plan. You will quickly grow into a responsible role with challenging and stimulating assignments. Moreover, you will be part of an interdisciplinary environment that emphasizes high quality and knowledge exchange. Plus, we offer:

• Support, coaching and feedback from some of the most engaging colleagues around
• Opportunities to develop new skills and progress your career
• The freedom and flexibility to handle your role in a way that’s right for you

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.