JobRole: Senior Data Engineer (d/f/m)
Location: Munich
Everyfunctional area, in every industry, is on an AI Journey. The power of machine learning to dramaticallyimprove company key performance indicators is being proven every day. But,although we feel every large organization is on an AI journey, the path tovalue is unclear.
Thereare three key barriers to deploying AI and machine learning at scale:
- Buildingdata pipelines that feed both the development and deployment of machinelearning models
- Improvingconsistency, reducing effort and expanding the ability of data scientists toaddress the growing range of business problems from prediction to prescription
- Buildingout the necessary infrastructure to support 100s of machine learning models inproduction, including the necessary governance and compliance patterns
AtCognizant we are proud to be helping our clients on their journey to AI atscale. We have built practices that bring together the best talent to addressthese key barriers, and have built unique capability to complement our people:
- OurAdaptive Data Foundation brings together our accelerators, partnerships andconsulting approach to help clients solve the increasing demands for data
- OurEvolutionary AI technology and patents is reducing the effort required todevelop deep learning and other sophisticated models. It's particularly adept at addressingprescription problems, from marketing to next best action to supply chain
- Ourarchitecture frameworks help clients navigate technology choices throughout theAI process. As well as building capability in close collaboration with theleading cloud providers, we are working with startups that address the criticalengineering challenges that machine learning brings
Clientdemand has meant that we are growing these practices at an unprecedented rate.We are looking for people that can bring existing strengths in data engineeringand data science but we want to hire people that share our vision and want togrow their own skills across the problem space.
Job description
Are you passionate about transforming andshaping leading organisations? Do you enjoy providing solutions to complexbusiness problems for opportunities requiring in depth knowledge oforganisational objectives? Would youlike to be part of the leadership team and a major contributor on large deals, whichwill have a real impact on the company's success?
Come and join our team of Data experts in Munichas a Big Data Engineer and be part of our exciting growt
We offer you an environment where everyone'sopinion matters, ideas are openly shared, where change is the norm and whereyou will work with some of the fastest moving, well-recognised brands in theworld.
Who are we?
The Artificial Intelligence & Analytics(AI&A) Team is a Technology & Architecture Practice within Cognizantresponsible for delivery state of the art solutions on Data modernization,Advanced Analytics and Artificial intelligence across all client industryverticals.
What will you do?
You will be playing a critical role in achievingCognizant's business objectives. You will be part of the team working closelywith our client stakeholders in sourcing the data, converting it into valuableData assets and making the Data of right quality available for advancedanalytics and Artificial intelligence use cases for business.
You will be responsible for the clientengagement success from solutioning through delivery.
You will also be focused on growing our businessby providing innovative solutions and adding a real value to our clients. In particular,we are seeking the Big Data Engineers experienced in Cloud Transformationengagements.
Your key responsibilities will be:
- Workclosely with the design teams and Product owners to deliver the solutions forData sourcing, ingesting into cloud based Data lakes and making the curatedData assets available for consumption.
- Developand implement the detailed solution to ensure successful operation of Data jobsproduction
- Co-ordinatewith the onsite, nearshore and offshore teams for delivery of technicalsolution
- Build relationships and credibility with clientsto drive "Self service" approach to own the end to end data engineeringresponsibility
- Work with Application architects and designteams to propose/ develop business case and collaterals for TransformationalInitiatives
- Develop the technical solution building onsynergies and benefits across the technologies and solution teams
- Research, identify and internally marketenabling technologies based on client requirements assisting clients throughtheir journey from ideation to execution creating win-win solution
- Work with Solution teams and Product Owners tounderstand inefficiencies in clients' existing processes and applications andrecommend solutions
- Foster an innovative culture within the team
- Understand the client's requirements, painpoints and help the lead architects and designers to arrive at a customizedsolution by rightly positioning Cognizant assets
- Collaborate with technology groups and otheralliances to bring best practices on various technologies and tools
What experience are we looking for?
- Strong experience in Cloud TransformationEngagements
- Understand 360 degree of AWS Big Data Architecture
- Strong hands-on experience on Data lake design and development
- In-depth knowledge of AWS Tech stack (AWS Fundamentals, Glue, Lambda, Kinesis, Firehose, Cloudwatch, Step functions, EMR, dynamoDB, SNS, SQS, S3, Elastic Search)
- Spark framework, PySpark, hands-on experience in Python
- Strong experience of maintaining code versioning in Github, Jenkins, AWS Code pipeline
- Good to have exposure to Terraforms, Docker, Container technologies
- 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 andresourceful in the face of challenges
About Cognizant
Cognizant (NASDAQ-100: CTSH)is one of the world's leading professional services companies, transformingclients' business, operating and technology models for the digital era. Ourunique industry-based, consultative approach helps clients envision, build andrun more innovative and efficient businesses. Headquartered in the U.S.,Cognizant is ranked 193 on the Fortune 500 and is consistently listed among themost admired companies in the world. Learn how Cognizant helps clients leadwith digital at www.cognizant.com or follow us @Cognizant.de |
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