EY-GDS Consulting-AI And DATA-Delivery Lead Cloud-SM

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 GDS – Data and Analytics (D And A) – Sr Manager – Data Architect

As part of our EY-GDS D&A (Data and Analytics) team, we help our clients solve complex business challenges with the help of data and technology. We dive deep into data to extract the greatest value and discover opportunities in key business and functions like Banking, Insurance, Manufacturing, Healthcare, Retail, Manufacturing and Auto, Supply Chain, and Finance.

The opportunity

We’re looking for Senior Managers (Data Architects) with strong technology and data understanding having proven delivery capability in delivery and pre sales. This is a fantastic opportunity to be part of a leading firm as well as a part of a growing Data and Analytics team.

Your key responsibilities

• Have proven experience in driving Analytics GTM/Pre-Sales by collaborating with senior stakeholder/s in the client and partner organization in CPR/P&U/Life Sciences. Activities will include pipeline building, RFP responses, creating new solutions and offerings, conducting workshops as well as managing in flight projects focused on cloud and big data.
• Develop standardized practices for delivering new products and capabilities using Big Data technologies, including data acquisition, transformation, and analysis.
• Interact with senior client technology leaders, understand their business goals, create, architect, propose, develop and deliver technology solutions
• Define and develop client specific best practices around data management within a Hadoop environment or cloud environment
• Recommend design alternatives for data ingestion, processing and provisioning layers
• Design and develop data ingestion programs to process large data sets in Batch mode using HIVE, Pig and Sqoop, Spark
• Develop data ingestion programs to ingest real-time data from LIVE sources using Apache Kafka, Spark Streaming and related technologies

Skills and attributes for success

• Strong understanding & familiarity with all Big Data and Cloud.
• Architect in desingning highly scalable solutions Azure, AWS and GCP.
• Strong understanding of underlying Hadoop Architectural concepts and distributed computing paradigms
• Experience in the development of Hadoop APIs and MapReduce jobs for large scale data processing.
• Hands-on programming experience in Apache Spark using SparkSQL and Spark Streaming or Apache Storm
• Hands on experience with major components like Hive, PIG, Spark, MapReduce
• Experience working with NoSQL in at least one of the data stores - HBase, Cassandra, MongoDB
• Experienced in Hadoop clustering and Auto scaling.
• Good knowledge in apache Kafka & Apache Flume
• Knowledge of Spark and Kafka integration with multiple Spark jobs to consume messages from multiple Kafka partitions
• Knowledge of Apache Oozie based workflow
• Hands-on expertise in cloud services like AWS, and/or Microsoft Azure
• Solid understanding of ETL methodologies in a multi-tiered stack, integrating with Big Data systems like Hadoop and Cassandra.
• Experience with BI, and data analytics databases
• Experience in converting business problems/challenges to technical solutions considering security, performance, scalability etc.
• Experience in Enterprise grade solution implementations.
• Knowledge in Big data architecture patterns [Lambda, Kappa]
• Experience in performance bench marking enterprise applications
• Experience in Data security [on the move, at rest]
• Strong UNIX operating system concepts and shell scripting knowledge

To qualify for the role, you must have

• Flexible and proactive/self-motivated working style with strong personal ownership of problem resolution.
• Excellent communicator (written and verbal formal and informal).
• Ability to multi-task under pressure and work independently with minimal supervision.
• Strong verbal and written communication skills.
• Must be a team player and enjoy working in a cooperative and collaborative team environment.
• Adaptable to new technologies and standards.
• Participate in all aspects of Big Data solution delivery life cycle including analysis, design, development, testing, production deployment, and support.
• Minimum 10 years hand-on experience in one or more of the above areas.
• Minimum 12 years industry experience

Ideally, you’ll also have

• Strong project management skills
• Client management skills
• Solutioning skills

What we look for

• People with technical experience and enthusiasm to learn new things in this fast-moving environment

What working at EY offers

At EY, we’re dedicated to helping our clients, from start–ups to Fortune 500 companies — and the work we do with them is as varied as they are.

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 | Building a better working world 

 
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.  

 
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