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EY Data and Analytics (D&A) –Senior – Big Data engineer Senior in Bangalore, India

Data and Analytics (D&A) –Senior – Big Data engineer Senior


Requisition # BLR006Z5

Post Date Jun 29, 2020

EY GDSData andAnalytics (D&A) –Senior – Big Data engineers

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 candidates with strong technology and data understanding in big data engineering space, having proven delivery capability. 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

  • Develop & deploy big data pipelinesin a cloud environment

  • Interact with seniorleaders, understand their business goals, contribute to the delivery of thework streams

  • Design and optimizemodel codes for faster execution

  • Designs, develops and produces datamodels of relatively high complexity, leveraging a sound understanding of datamodelling standards to ensure high quality

  • Leads the productionof high-quality data engineering deliverable's, helping ensure projecttimelines are met, and provides informal mentoring / training to junior membersof the team

  • Leads the delivery ofdata quality reviews including data cleansing where required to ensureintegrity and quality

  • Leads the delivery ofdata models, data storage models and data migration to manage data within theorganization, for a small to medium-sized project

  • Resolves escalateddesign and implementation issues with moderate to high complexity

  • Analyses the latestindustry trends such as cloud computing and distributed processing and beginsto infer risks and benefits of their use in business

  • Provides technicalexpertise to maximize value from current applications, solutions,infrastructure and emerging technologies and seeks to continuously improveinternal processes

  • Develops workingrelationships with peers across other engineering teams and begins tocollaborate to develop leading data engineering solutions

  • Drives adherence tothe relevant data engineering and data modelling processes, procedures andstandards

Skills and attributes for success

  • Hands on data engineer

  • Applyingobject-oriented and functional programming styles to real-world Big DataEngineering problems using Java/Scala/Python

  • Develop datapipelines to perform batch and Real - Time/Stream analytics on structured andunstructured data.

  • Data Ingress, Egress,Querying using Kafka, NiFi, Azure data Lake, Azure Data bricks (Spark /Streaming).

  • Data processingpatterns, distributed computing and in building applications for real-time andbatch analytics.

  • Handling large datasets and perform data wrangling, analysis, etc., using various SQL & NoSQLdatabase technologies, and programming languages such as Java/Scala/Python

  • Experience workingwith NoSQL in at least one of the data stores - HBase, Cassandra, MongoDB

  • Hands-on expertise incloud services like AWS, and/or Microsoft Azure

  • Good understanding ofdifferent file format (ORC, Parquet, AVRO) to optimize queries/processing andcompression techniques

  • Demonstrableunderstanding of high-quality coding and testing practices.

  • An appetite to learnnew technologies and a drive for continual improvement.

  • Have knowledge and skills in DevOps andcontainerization. Preferable – having deployment knowledge

To qualify for the role, you must have

  • Be a computer science graduate or equivalent with 6-12 years of industry experience

  • Have working experience in an Agile base delivery methodology (Preferable)

  • Flexible and proactive/self-motivated working style with strong personal ownership of problem resolution.

  • Excellent communicator (written and verbal formal and informal).

  • Participate in all aspects of Big Data solution delivery life cycle including analysis, design, development, testing, production deployment, and support.

Ideally, you’ll also have

  • Client management skills

  • Project management 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

About EY

As a global leader in assurance, tax, transaction and consulting services, we’re using the finance products, expertise and systems we’ve developed to build a better working world. That starts with a culture that believes in giving you the training, opportunities and creative freedom to make things better. Whenever you join, however long you stay, the exceptional EY experience lasts a lifetime. And with a commitment to hiring and developing the most passionate people, we’ll make our ambition to be the best employer by 2020 a reality.