Client Technology – Cloud Data Engineer Job Vacancy in EY Pune, Maharashtra – Updated today

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Company Name : EY
Location : Pune, Maharashtra
Position :

Job Description : At EY, you will 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 are 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.
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 integral to innovation at scale. You will work with technologists and business specialists, blending EY’s deep industry knowledge and innovative ideas with our platforms, capabilities, and technical expertise. As a champion for change and growth, you will 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 selected candidate
You will be owning the design and implementation of processes to extract, transform and load data from disparate sources into a form that is consumable by analytics processes, for large or more sophisticated projects, using advanced technical capabilitiesYou will take accountability for the production of a suite of data models with relatively high complexity, demonstrating a strong understanding of data modelling standards to ensure high qualityWorking with other departments across the business to help define and deliver business value, as well as interfacing and presenting with program teams, management and partners to deliver large, sophisticated projects Your key responsibilities includeLeading the design, development and implementation of processes to extract, transform and load data from disparate sources into a form that is consumable by analytics processes within a given project, reviewing work to ensure high qualityEvaluating and resolving issues regarding data quality reviews, cleansing, data integration and migration, demonstrating sophisticated technical knowledge and showing technical leadership in aspects of data engineering while driving continuous improvement effortsProviding a leadership role for the work group, ensuring the appropriate expectations, principles, structures, tools and responsibilities are in place to deliver the projectAnalyzing the latest industry trends such as cloud computing and distributed processing and inferring potential impact on businesses (short and long-term)Providing sophisticated technical expertise to maximize efficiency, reliability and value from current data engineering processes. Researching and supervising existing client base and industry developments to identify potential new product opportunities from emerging technologiesDeveloping strong working relationships with peers across engineering, collaborating to develop leading data engineering solutionsDriving consistency to the relevant data engineering and data modelling processes, procedures, standards, and may input into the definition, maintenance and implementation of technology standards Skills and attributes for successBatch Processing – Capability to design an efficient way of processing high volumes of data where a group of transactions is collected over a period of timeData Integration (Sourcing, Storage and Migration) – Capability to design and implement models, capabilities and solutions to handle 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 anotherData 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 dataStream Systems – Capability to discover, integrate, and ingest all available data from the machines that produce it, as fast as it’s produced, in any format, and at any quality Advanced understanding of some of the following tools and technologies, and how to apply them to tackle business problemsBusiness Information Glossaries – Azure Data Catalogue, Business Objects, Collibra, IBM Business Glossary, SAP Information StewardCloud Computing Services – Accenture Cloud Platform, Amazon Web Services, Azure, GCP Cloud Architecture, Google Cloud, IBM Infosphere Information Server, IBM Infosphere Warehouse Edition, MuleSoft CloudHub, Oracle Cloud, Red Hat CloudDistributed Systems – Azure ADLS Gen 2, Databricks, Hadoop, HDFS, Kafka, MapReduce/Hive, Spark, Storm, ZookeeperETL Tools – Alteryx, Azure Data Factory, BODS, IBM DataStage, Informatica, Lavastorm, NiFi, Oracle Data Integrator, Power BI Dataflows, Power Query, RapidMiner, SAP Data Services, SSIS, Talend, Trifacta, Universe Designer (IDT/UDT)Graph Databases – AWS DynamoDB, Azure Cosmos, DataStax Enterprise Graph, IBM Graph, InfiniteGraph, Neo4j, Teradata Aster, TitanIn Memory Databases – SAP HANAMonitoring – SplunkNoSQL Columnar Stores – Accumulo, AWS RedShift, Cassandra, Druid, HBase, VerticaNoSQL Document Stores – Apache CouchDB, ArangoDB, Clusterpoint, Couchbase, DocumentDB, Elastic Search, IBM Domino, MarkLogic, MongoDB, OrientDB, Qizx, RethinkDB, SharePointNoSQL Key Value Pair Data Store – Aerospike, DovetailDB, Dynamo, Dynomite, Flare, HyperDex, Keyspace, MotionDb, Oracle NoSQL Database, quasardb, RAMCloud, Riak, SchemaFree, SubRecord, VoldemortProgramming Languages – .Net, C#, C++, CSS, Hive, HTML5, Java, MATLAB, Node.js, Pig, PowerShell, Python, R, Ruby, Sass, Scala, Shell Scripting, SQL, Visual Studio, XMLRelational MMP Databases – Netezza, TeradataRelational SMP Databases – Azure SQL PaaS, IBM DB2, MySQL, Oracle, PostgreSQL, SQL Server EducationM.S. in Actuarial, Behavior Economics, Computer Science, Data Analytics, Data Science, Econometrics, Engineering, IT, Cyber Security, or related field preferred What we look forStrong analytical skills and problem-solving abilityA self-starter, independent-thinker, curious and creative person with ambition and passionExcellent inter-personal, communication, collaboration, and presentation skillsCustomer focusedExcellent time leadership skillsPositive and constructive mindedTakes ownership for continuous self-learningTakes the lead and makes decisions in critical times and tough circumstancesAttention to detailHigh levels of integrity and honesty
What we offer
As part of this role, you’ll work in a highly integrated, globally diverse team with the opportunity and tools to grow, develop and drive your career forward. Here, you can combine global opportunity with flexible working. The EY benefits package goes above and beyond too, focusing on your physical, emotional, financial and social well-being. Your recruiter can talk to you about the benefits available in your country. Here’s a snapshot of what we offer:
Continuous learning: You will develop the attitude and skills to navigate whatever comes next.Success as defined by you: We will provide the tools and flexibility, so you can make a significant impact, your way.Transformative leadership: We will give you the insights, coaching and confidence to be the leader the world needs.Diverse and inclusive culture: You will be accepted for who you are and empowered to use your voice to help others find theirs.
We ensure that individuals with disabilities are provided reasonable accommodations to participate in the job application or interview process, to perform essential job functions and to receive other benefits and privileges of employment. Please contact us to request accommodations.
EY is committed to being 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. While our client-facing professionals can be required to travel regularly, and at times be based at client sites, our flexible working arrangements can help you to achieve a lifestyle balance.
Can you demonstrate that you meet the criteria above? If yes, please contact us as soon as possible!
Join us in building a better working world.
Apply now!
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.
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.

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