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BASIC

Client Technology Data Engineer

Ey
Thiruvananthapuram
Posted on: 23 Sep 2021

Job details


  • NATURE OF JOB Hybrid — WFH / WFO / CW
  • CATEGORY Programming
  • SALARY RANGE Best in the industry Annual
  • EXPERIENCE 1 – 3 Years
  • JOB TYPE Full Time
  • REGIONAL PREFRENCES India
  • NO. OF VACANCIES 1

Job description


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. 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 opportunity Leads the delivery of processes to extract, transform and load data from disparate sources into a form that is consumable by analytics processes, for projects with moderate complexity, using deep technical capabilities Designs, develops and produces data models of relatively high complexity, using a sound understanding of data modelling standards to ensure high quality Builds networks with other groups across the business to help define and deliver business value, and may interface and connect with program teams, management and partners as the need arises to deliver small to medium-sized projects Your Key Responsibilities Owning the production of high-quality data engineering work, helping to ensure project timelines are met, and providing informal mentoring / training to junior members of the team Leading the delivery of data quality reviews including data cleansing where required to ensure integrity and quality Owning the delivery of data models, data storage models and data migration to manage data within the organization, for a small to medium-sized project Resolving advanced design and implementation issues with moderate to high complexity Analyzing the latest industry trends such as cloud computing and distributed processing and beginning to infer risks and benefits of their use in business Providing technical expertise to maximize value from current applications, solutions, infrastructure and emerging technologies and seek to continuously improve internal processes Developing working relationships with peers across other engineering teams and beginning to collaborate to develop leading data engineering solutions Driving adherence to the relevant data engineering and data modelling processes, procedures and standards Skills And Attributes For Success Batch Processing - Capability to design an efficient way of processing high volumes of data where a group of transactions is collected over a period of time Data Integration (Sourcing, Storage and Migration) - 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 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 Stream 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 To qualify for the role you must have Business Information Glossaries – Azure Data Catalogue, Business Objects, Collibra, IBM Business Glossary, SAP Information Steward Cloud 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 Cloud Distributed Systems – Azure ADLS Gen 2, Databricks, Hadoop, HDFS, Kafka, MapReduce/Hive, Spark, Storm, Zookeeper ETL 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, Titan In Memory Databases – SAP HANA Monitoring – Splunk NoSQL Columnar Stores – Accumulo, AWS RedShift, Cassandra, Druid, HBase, Vertica NoSQL Document Stores – Apache CouchDB, ArangoDB, Clusterpoint, Couchbase, DocumentDB, Elastic Search, IBM Domino, MarkLogic, MongoDB, OrientDB, Qizx, RethinkDB, SharePoint NoSQL Key Value Pair Data Store – Aerospike, DovetailDB, Dynamo, Dynomite, Flare, HyperDex, Keyspace, MotionDb, Oracle NoSQL Database, quasardb, RAMCloud, Riak, SchemaFree, SubRecord, Voldemort Programming Languages – .Net, C#, C++, CSS, Hive, HTML5, Java, MATLAB, Node.js, Pig, PowerShell, Python, R, Ruby, Sass, Scala, Shell Scripting, SQL, Visual Studio, XML Relational MMP Databases – Netezza, Teradata Relational SMP Databases – Azure SQL PaaS, IBM DB2, MySQL, Oracle, PostgreSQL, SQL Server Education B.S. in Actuarial, Behavior Economics, Computer Science, Data Analytics, Data Science, Econometrics, Engineering, IT, Cyber Security, or related field preferred What We Look For Strong analytical skills and problem-solving ability A self-starter, independent-thinker, curious and creative person with ambition and passion Excellent inter-personal, communication, collaboration, and presentation skills Customer focused Excellent time leadership skills Positive and constructive minded Takes ownership for continuous self-learning Takes the lead and makes decisions in critical times and tough circumstances Attention to detail High 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 mindset 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. 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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