Senior Data Engineering Manager (m/f/d) Dresden, Germany
Senior Data Engineering Manager (m/f/d) Description
Job #: 90125
We are looking for a Senior Big Data Engineering Manager to lead our team! This is a high-profile role, leading the design of leading-edge Big Data solutions and platforms, across a number multiple high profile customer engagements. Join EPAM and shape the data organizations of the future.
Responsibilities
- Design data analytics solutions by utilizing the big data technology stack
- Create and present solution architecture documents with deep technical details
- Work closely with business in identifying solution requirements and key case-studies/scenarios for future solutions
- Conduct solution architecture review / audit, calculate and present ROI
- Lead implementation of the solutions from establishing project requirements and goals to solution "go-live"
- Create and follow personal education plan in the technology stack and solution architecture
- Get involved in engaging new clients to further drive EPAM business in the big data space
Requirements
- Strong ‘hands-on’ experience as a Big Data Architect with a solid design/development background with Java, Scala, or Python
- Good experience with Snowflake, Databricks or similar
- Experience delivering data analytics projects and architecture guidelines
- Experience in big data solutions on premises and on the cloud (Amazon Web Services, Microsoft Azure, Google Cloud)
- Production project experience in at least one of the big data technologies
- Batch processing: Hadoop and MapReduce / Spark / Hive
- NoSQL databases: Cassandra / HBase /Accumulo / Kudu
- Knowledge of Agile development methodology, Scrum in particular
- Experience in direct customer communications and pre-selling business-consulting engagements to clients within large enterprise environments
- Fluent English
- Fluent German
Nice to have
- Practical experience in performance tuning and optimization, bottleneck problem analysis
- Understanding of data modelling challenges and techniques in an enterprise environment
- Stream processing: Kafka / Flink / Spark Streaming / Storm
- Background in traditional data warehouse and business intelligence stacks (ETL, MPP Databases, Tableau, Microsoft Power BI, SAP Business Objects)
We Offer
- EPAM Employee Stock Purchase Plan (ESPP)
- 30 days holiday per annum
- Company Pension Scheme
- Competitive compensation depending on experience and skills
- Regular performance assessments
- Opportunities for personal and professional growth
- Unlimited access to LinkedIn learning solutions
- Friendly and enjoyable working team
- Relocation package support
- Regular corporate and social events
- Flexible and remote working opportunities
- All benefits and perks are subject to specific eligibility requirements
About EPAM
- EPAM is a leading global provider of digital platform engineering and development services. We are committed to having a positive impact on our customers, our employees, and our communities. We embrace a dynamic and inclusive culture. Here you will collaborate with multi-national teams, contribute to a myriad of innovative projects that deliver the most creative and cutting-edge solutions, and have an opportunity to continuously learn and grow. No matter where you are located, you will join a dedicated, creative, and diverse community that will help you discover your fullest potential
Why join EPAM
- Work across markets and verticals and gain exposure to a great variety of projects and cutting-edge technologies
- Become part of a global community of 57.000+ well-connected experts across 50+ countries: enjoy a career without borders within an international environment and relocation opportunities
- Carve your career path: as the Fastest-Growing IT Services Company in the Fortune 100 List, EPAM is committed to help you discover your fullest potential by creating career plans that best suit you and your future plans
- EPAM Germany was named a Top Company 2022 & 2023 by Kununu for its people centric culture built on life-long learning
