Data Engineer (d/f/m)

Location: Munich

 

Every 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 organization 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 models
  • Improving consistency, reducing effort and expanding the ability of data scientists to address the growing range of business problems from prediction to prescription
  • Building out the necessary infrastructure to support 100s of machine learning models in production, including the necessary governance and compliance patterns

At Cognizant we are proud to be helping our clients on their journey to AI at scale. We have 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 data
  • Our 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 chain
  • Our 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 brings

 

Client 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 description

Are 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 leadership team and a major contributor on large deals, which will have a real impact on the company’s success?

Come and join our team of Data experts in Munich as a Big 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 Artificial Intelligence & Analytics (AI&A) Team is a Technology & Architecture Practice within Cognizant responsible for delivery state of the art solutions on Data modernization, Advanced Analytics and Artificial intelligence across all client industry verticals.

What will you do?

You will be playing a critical role in achieving Cognizant’s business objectives. You will be part of the team working closely with our client stakeholders in sourcing the data, converting it into valuable Data assets and making the Data of right quality available for advanced analytics and Artificial intelligence use cases for business.

You will be responsible for the client engagement success from solutioning through delivery.

You will also be focused on growing our business by providing innovative solutions and adding a real value to our clients. In particular, we are seeking the Big Data Engineers experienced in Cloud Transformation engagements.

Your key responsibilities will be:

  • Work closely with the design teams and Product owners to deliver the solutions for Data sourcing, ingesting into cloud based Data lakes and making the curated Data assets available for consumption.
  • Develop and implement the detailed solution to ensure successful operation of Data jobs production
  • Co-ordinate with the onsite, nearshore and offshore teams for delivery of technical solution
  • Build relationships and credibility with clients to drive “Self service” approach to own the end to end data engineering responsibility
  • Work with Application architects and design teams to propose/ develop business case and collaterals for Transformational Initiatives
  • Develop the technical solution building on synergies and benefits across the technologies and solution teams
  • Research, identify and internally market enabling technologies based on client requirements assisting clients through their journey from ideation to execution creating win-win solution
  • Work with Solution teams and Product Owners to understand inefficiencies in clients’ existing processes and applications and recommend solutions
  • Foster an innovative culture within the team
  • Understand the client’s requirements, pain points and help the lead architects and designers to arrive at a customized solution by rightly positioning Cognizant assets
  • Collaborate with technology groups and other alliances to bring best practices on various technologies and tools

What experience are we looking for?

  • Strong experience in Cloud Transformation Engagements
  • Understand 360 degree of AWS Big Data Architecture
  • Strong hands-on experience on Data lake design and development
  • In-depth knowledge of Spark framework, AWS Tech stack (EMR / Glue Scala and Lambda)
  • Strong experience of maintaining code versioning in Github, Jenkins, AWS Code pipeline
  • Good to have exposure to Terraforms, Docker, Container technologies, AWS Step Functions
  • Define and implement the best practices in AWS Technologies
  • Great communication skills, capable to quickly understand the business requirement and provide best-practice solution.
  • Able to work under pressure to meet aggressive deadlines
  • Analyze complex business requirements within User Stories and translate them into the technical solutions and architectural approaches
  • Estimate development efforts / story points
  • Experience working in DevOps/ Agile working model
  • Experience in working within geographically distributed teams (Onsite, Nearshore & Offshore)
  • Excellent written and verbal communication skills in German and English
  • Customer and Stakeholder Management
  • A track record of developing creative solutions
  • Highly developed critical thinking, interpretative and analytical skills
  • Positive, determined, resilient, confident and resourceful in the face of challenges

How to apply/ contact information:

To apply please send your CV.

Sector(s):

  • IT Operation, Telecommunication
  • Network and System Engineer
  • IT Development
  • Programmer, Developer
  • Database Expert

Experience required:

  • 1-3 years professional experience

Required Qualification:

  • College degree

Required language level:

All of these are:

  • English (higher advanced/fit for negotiation)
  • German (higher advanced/fit for negotiation)

Employment type:

  • Full time

Job location:

Munich