Data Engineer

Job Role: Data EngineerEvery functional area, in every industry, is on an AI Journey. The power of machine learning to dramatically improve company key performance indicators is being proven every day. But, although we feel every large organisation is on an AI journey, the path to value is unclear.There are three key barriers to deploying AI and machine learning at scale:Building data pipelines that feed both the development and deployment of machine learning modelsImproving consistency, reducing effort and expanding the ability of data scientists to address the growing range of business problems from prediction to prescriptionBuilding out the necessary infrastructure to support 100s of machine learning models in production, including the necessary governance and compliance patternsAt Cognizant we are proud to be helping our clients on their journey to AI at scale. We’ve built practices that bring together the best talent to address these key barriers, and have built unique capability to complement our people:Our Adaptive Data Foundation brings together our accelerators, partnerships and consulting approach to help clients solve the increasing demands for dataOur Evolutionary AI technology and patents is reducing the effort required to develop deep learning and other sophisticated models. It’s particularly adept at addressing prescription problems, from marketing to next best action to supply chainOur architecture frameworks help clients navigate technology choices throughout the AI process. As well as building capability in close collaboration with the leading cloud providers, we are working with startups that address the critical engineering challenges that machine learning bringsClient demand has meant that we are growing these practices at an unprecedented rate. We are looking for people that can bring existing strengths in data engineering and data science but we want to hire people that share our vision and want to grow their own skills across the problem space.Job descriptionAre you passionate about transforming and shaping leading organisations? Do you enjoy providing solutions to complex business problems for opportunities requiring in depth knowledge of organisational objectives? Would you like to be part of the digital team and a major contributor on large deals which will have a real impact on the company’s success?Come and join our team in London as a Data Engineer and be part of our exciting growth.We offer you an environment where everyone’s opinion matters, ideas are openly shared, where change is the norm and where you will work with some of the fastest moving, well recognised brands in the world.Who are we?The IMS is a Technology Practice within Cognizant’s AI & Analytics organisation. We support Cognizant engagements across all client industry verticals.Our unique team engages with senior customer stakeholders, to translate strategy and vision into digital journeys, across modern technology estates, specialising in data engagements.What will you do?We are looking for enthusiastic Data Engineers with 3-10 years of expertise in the Data Engineering space with eagerness to learn and deliver large complex Digital Transformation programmes across UK & Ireland. As a Data Engineer you will have worked on Data Integration into Cloud Data Warehouses or Data Lakes, programming, APIs, etc. in an Agile environment.Your key responsibilities will be:Identify and analyse user requirementsPrioritize, assign and execute tasks throughout the software development life cycleDevelop new applicationsWrite well-designed, efficient codeReview, test and debug team members’ codeEnsure our applications are secure and up-to-dateWhat experience are we looking for?Work experience as a Core Java Developer or similar roleExperience designing, building and testing Java applicationsIn-depth knowledge of popular Java frameworks like JSF and Spring MVCGood time management skillsProblem-solving abilitiesExpertise or exposure to the following will be good to have else we will be enable you with the required trainingAWS Glue and Data Catalog, EMR, Athena, S3, Redshift / RDS, Kafka/Spark, AWS Security, IAMOR Azure Data factory, Azure Data bricks, Azure Data Lake, Azure SQL DW & Azure SQL, Azure Storage, HDInsight (Spark/Kafka),Azure Event Hub, Azure AD/IAM and Data CatalogORCloud DataFlow, DataPrep, CloudSQL, BigTable, BigQuery, Cloud Spanner, Kafka/Spark, Google Cloud IAMWhy should you apply? For top talent we offer a highly competitive salary and a number of other benefits: Bonus programmeMedical and dental careLife InsuranceChildcare VouchersPension schemeFriendly work cultureExcellent growth and advancement opportunities Permanent 40,000 - 75,000