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Big Data Engineer

Cognizant Technology Solutions GmbH

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Summary:

Cognizant’s Banking and Financial Services (BFS) is one of the leading practices in Cognizant, servicing 250+ banking institutions globally including top 10 European Banks.

We are well known for our ability to assist customers in creating datalake programs in such areas as retail banking, wholesale banking, consumer lending, cards and payments, risk management, investment banking and brokerage, asset and wealth management, and securities services.

We provide and enhance a value proposition by helping clients tackle business problems. Seasoned consultants work closely with clients’ onsite to structure their problem, gather data and design solutions. The duration of a typical client engagement varies from 1-3 year(s).

Typical client problems addressed by BFS include:

  • Technology and Architecture Consulting

  • Business Process Analysis and Re-engineering

  • Application Development

From digital identification to digital connection:

Digital tools grow fast, just like the digital attitude. This leads to increased customer demands and increased pressure to deliver coherent products and services that are digitally ready. Companies that want to keep their relevance must implement digital transformation in front of front office experiences, middle office business processes and back office IT environments. The urgent need for digital transformation raises a host of complex problems that organizations need to solve quickly. We help customers implement digital transformation by combining business and engineering architectures that provide competitive edge and growth on the top line.

Key Responsibilities of the job:

We are looking for a Big Data Engineer having more than 5 years of experience. The role requires experience in Analysis, Design, Development, Testing and Deployment in Big Data frameworks and technologies.

He or she should have hands-on experience in designing and building big data lake/warehouse for data integration from enterprise wide applications/systems along with maintaining data pipelines, with a focus on writing scalable, clean, and fault-tolerant code to handle disparate data sources.

He should have ability to combine strong analytical and technical skills with business skills to convey clear updates with a wide range of stakeholders and should be a team player.

He or she should have Experience in Agile/Scrum Methodologies.

Skills & Experience:

The Ideal candidate should have 5+ years’ experience in Big Data & Analytics. He or she should have excellent communication skills and should know how to engage and communicate with senior client leadership effectively, stakeholder on Director/C-Level acting as trusted advisor.

He or she should have skills/ experience in one or more the following:

  • 4+ years of experience in BigData components with strong understanding of core components Hadoop, Hive, Kafka, Storm/Flink and Spark framework

  • 2+ years of very strong Python/Scala development and unit testing experience

  • Good hands on experience in building Real-time streaming data pipelines using Kafka Storm/FLink

  • Good experience building and optimizing ‘big data’ data pipelines (Python, Spark) and data sets to ingest and transform data for analytics and machine learning

  • Good Experience in CI/CD process and Dev ops tools such as GIT/Jenkins/Maven

  • Experience with at-least one of the major Hadoop distributions (Preferably Hortonworks)

  • Experience with relational SQL and NoSQL databases including Hbase/Cassandra, ElasticSearch

  • Experience in handling Avro, JSON, Parquet and ORC data formats

  • Advanced working knowledge of SQL and experience working with relational databases (good to have).

  • Detail-oriented analytical and problem-solving skills.

  • Excellent verbal and written English communication skills.

  • Experience with data pipeline and workflow management tools

Qualifications and Certifications:

  • Fluent in English. Swedish can be an added advantage

  • Bachelor’s / Master’s Degree in Computer Applications

  • Certification in Big Data relevant technologies

Continuously developing yourself:

It doesn’t matter on which level you start at Cognizant; you will always keep developing yourself with our Cognizant Academy . Besides that, we share the experience we gained in our programs at customers and socialize. It’s not an obligation but very popular.

Because we are growing fast and opportunities arise around every corner. We don’t want to push your career as this is something you can do yourself. That’s more fun, right?

We are proud to announce that Cognizant has for the third consecutive year running been officially certified as a "Top Employer Sweden!

Cognizant Technology Solutions Sweden AB provides exceptional employee conditions, nurtures and develops talent throughout all levels of the organisation and has demonstrated its leadership status in the HR environment, always striving to optimise its employment practices and to develop its employees.

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