• Enterprise Analytics - Big Data Platform Engineer Jobs in Czech Republic - 23778310

  • SAP Labs Pvt Ltd
  • Czech Republic
  • Save Job
  • 0 - 3 Years
  • Posted : above 1 month

Job Description:

City Prague, PR, CZ

Company SAP

Requisition ID 195098
Work Area Software-Design and Development
Expected Travel 0 - 10 PERCENT
Career Status Graduate
Employment Type Limited Full Time

COMPANY DESCRIPTION
SAP started in 1972 as a team of five colleagues with a desire to do something new Together, they changed enterprise software and reinvented how business was done Today, as a market leader in enterprise application software, we remain true to our roots Thats why we engineer solutions to fuel innovation, foster equality and spread opportunity for our employees and customers across borders and cultures

SAP values the entrepreneurial spirit, fostering creativity and building lasting relationships with our employees We know that a diverse and inclusive workforce keeps us competitive and provides opportunities for all We believe that together we can transform industries, grow economics, lift up societies and sustain our environment Because its the best-run businesses that make the world run better and improve peoples lives

PURPOSE AND OBJECTIVES
Within the BI&AS organization, the Enterprise Analytics team assumes SAP-wide ownership for management reporting/planning and in this context drives SAPs Business Intelligence strategy, promotes the actual usage of BI solutions in tight collaboration with the business BI-, development- and IT teams The Enterprise Analytics team is an execution-focused organization collaboratively working cross functions to ensure the adoption of best practices and enabling a scalable, world class analytics foundation fully leveraging technology innovations to provide global transparency out of one single source of truth reporting system In addition, the Enterprise Analytics function delivers pre-defined services with a clear customer focus on the best leverage of economies of scale

By enabling best in class reporting processes relying on one unified BI model with pre-defined standards, the team fosters a culture of fact-based decision making and effectively drives the transformation towards managing analytics as an enterprise-wide asset according to SAPs strategy and key business priorities
The position is a unique opportunity to combine and develop a wide range of skills to build innovative solutions, leveraging latest technologies in the area of Analytics, Data warehousing, big data processing and integration, and predictive / machine learning solutions

The main objective will be to contribute to design and implementation of corporate platforms capabilities and guide lines, to enable efficient end to end big data and data science projects, at large scale and at lowest possible TCO

This includes providing a perfect working environment for Data Scientists, implementing sustainable data integration and processing capabilities suitable for analytics & predictive scenarios with any type (structured to unstructured) / any size of data, and implementing frameworks to handle at scale the Company Machine Learning and Advanced Data Analytics Artifacts (predictive models, etc)
EXPECTATIONS AND TASKS
The tasks will include

Develop constructive collaboration with all big data and data science stakeholders (eg Developers / Data Engineers, Data Scientists) to understand requirements and pain points, and provide sustainable and re-usable solutions
Setup and configure architecture for scalable Batch (eg HIVE, SPARK SQL, PySpark) and Streaming processing (eg KAFKA, Spark Streaming, SAP Data Hub) data processing on Cloud Platform providers
Evaluate and implement, in a sustainable and compliant way, the latest technologies suitable for big data and data science solutions enablement
Leverage latest technologies like Kubernetes and Docker to deploy cost efficient and scalable data pipeline and Machine Learning pipeline
Contribute to implementation of corporate big data platforms on Cloud Platform providers to ensure release of latest technologies, without disrupting productive solutions
Articulate detailed and unambiguous concept and procedures to ensure error free provisioning and configuration of platform services for ingestion, processing and consumption of all types of data in the Cloud and On-Premise, to suit big data and data science end to end solutions
Partner with product support to solve problems and identify opportunities for platform enhancements

EDUCATION AND QUALIFICATIONS / SKILLS AND COMPETENCIES
Required

Good understanding of data science project cycles
Good understanding of data processing and data modeling Data modeling, SQL, procedure in database/data warehouse (eg SAP HANA, BW on HANA) and in Hadoop (eg Spark, HIVE)
ETL, ELT, batch and data streaming (eg Python, Spark SQL, Spark Streaming, PySpark, )

Good knowledge on deployment of Hadoop core services (HDFS, Oozie, Kafka) and SPARK
Good knowledge of Kubernetes and Docker
Problem solving mindset
Experience of working in dynamic international and cross functional environment
Ability to work under pressure and to cope with deadlines
Good presentation and communication skills, and proven capabilities to write unambiguous concept and procedures (eg authorization concept, access request and provisioning procedures, HDI Cluster setup and configuration procedures)
Fluent in English (written and verbal)

Beneficial

Knowledge of Cloud Platforms like Azure and SCP
Knowledge of UNIX / LINUX
Knowledge of Python is a big benefit
Knowledge of Python, R, JAVA, SCALA
Knowledge of SAP Data Management Suite (HANA, SAP DATA HUB / VORA)
Agile Development methodologies (Continuous Integration)

WORK EXPERIENCE
Hands on experience in the setup of big data environment (Hadoop, Spark) and solutions based on Kubernetes and Docker
Comfortable with working in international team

WHAT YOU CAN EXPECT

Exciting career progression, a diverse work environment providing growth opportunities, learning & development possibilities, and an international business network for you to leverage
Various and interesting work in brand new fancy offices directly at metro Nove Butovice
We believe every employee is a talent and we want to reach your full potential
Interesting non-working activities (volunteering, charity, sport events)
Opportunities for professional growth

BENEFITS
Flexible start/end of working hours, sick days, meal tickets/ catering allowance, educational courses, training, cafeteria, contribution to sport/culture/ leisure, holidays 5 weeks, generous shares program etc

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WHAT YOU GET FROM US

Success is what you make it At SAP, we help you make it your own A career at SAP can open many doors for you If youre searching for a company thats dedicated to your ideas and individual growth, recognizes you for your unique contributions, fills you with a strong sense of purpose, and provides a fun, flexible and inclusive work environment apply now

SAPS DIVERSITY COMMITMENT
To harness the power of innovation, SAP invests in the development of its diverse employees We aspire to leverage the qualities and appreciate the unique competencies that each person brings to the company

SAP is committed to the principles of Equal Employment Opportunity and to providing reasonable accommodations to applicants with physical and/or mental disabilities If you are in need of accommodation or special assistance to navigate our website or to complete your application, please send an e-mail with your request to Recruiting Operations Team (Americas CareersNorthAmericasapcom or CareersLatinAmericasapcom, APJ CareersAPJsapcom, EMEA Careerssapcom)

Successful candidates might be required to undergo a background verification with an external vendor

Additional Locations

Job Segment Analytics, Database, Data Analyst, ERP, Engineer, Management, Technology, Data, Engineering

Profile Summary:

Employment Type : Full Time
Eligibility : Any Graduate
Industry : Software Services, Internet/Dot com/ISP
Functional Area : IT Software : Software Products & Services
Role : Software Engineer
Salary : As per Industry Standards
Deadline : 07th Apr 2020

Key Skills:

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