Senior Databricks Engineer
CZE - Central Bohemian - Prague (Five)
Applications have closed
MSD
At MSD, we're following the science to tackle some of the world's greatest health threats. Get a glimpse of how we work to improve lives.Job Description
To our tech hub in Prague, we are seeking an experienced Databricks Engineer to join our team. The ideal candidate will have a strong foundational experience in Databricks architecture and deployment patterns on AWS infrastructure. The candidate should also possess the ability to recommend and implement best practices for efficient solution development on top of Databricks platform in both data science and data engineering domains.
Responsibilities:
Help drive Databricks platform architecture development
Optimize and fine-tune Databricks architecture to ensure high performance and scalability.
Collaborate with cross-functional teams to understand technology ecosystem specifics, understand the business requirements and translate them into technical solutions.
Suggest and implement security measures and best practices to protect classified data processed and stored using Databricks.
Guide the community members through the design, development, and deployment of Databricks-based solutions on AWS infrastructure.
Provide guidance and mentorship to junior team members on Databricks architecture and development practices.
Stay up-to-date with the latest advancements in Databricks and related technologies to continuously improve the solution landscape.
Requirements:
Bachelor's degree in Computer Science, Engineering, or a related field.
Proven experience as a Databricks Architect/Engineer, with a strong understanding of Databricks architecture and deployment patterns on AWS infrastructure.
Solid knowledge of data science and data engineering concepts and techniques.
Proficiency in programming languages such as Python, Scala, or SQL.
Experience with big data processing frameworks like Apache Spark.
Strong problem-solving and analytical skills.
Excellent communication and collaboration abilities.
Ability to work independently and in a global, team-oriented environment.
AWS certification(s) related to data engineering, data warehousing or data-lake is a plus.
Databricks certification(s) is a plus.
What we offer:
Exciting work in a great team, global projects, international environment
Opportunity to learn and grow professionally within the company globally
Hybrid working model, flexible role pattern (e.g. even 80% full-time is possible in justified cases)
Pension and health insurance contributions
Internal reward system plus referral programme
5 weeks annual leave, 5 sick days, 15 days of certified sick leave paid above statutory requirements annually, 40 paid hours annually for volunteering activities, 12 weeks of parental contribution
Cafeteria for tax free benefits according to your choice (meal vouchers, Lítačka, sport, culture, health, travel, etc.), Multisport Card
Vodafone, Raiffeisen Bank, and Mall.cz discount programs
Parking in the garage, showers, refreshments, massage chairs, library, music corner
Competitive salary, and many more
Ready to take up the challenge? Apply now!
Know anybody who might be interested? Refer this job!
Current Employees apply HERE
Current Contingent Workers apply HERE
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Employee Status:
RegularRelocation:
VISA Sponsorship:
Travel Requirements:
Flexible Work Arrangements:
HybridShift:
Valid Driving License:
Hazardous Material(s):
Required Skills:
Database Administration, Databricks Platform, Data Engineering, Data Management, Data Warehousing (DW), Information Management, Information Technology (IT) Infrastructure, IT Solution Design, Network InfrastructuresPreferred Skills:
Architecture Development, Building Architecture, Data Lake, Programming Languages, Python (Programming Language), Structured Query Language (SQL), Technical SolutionsJob Posting End Date:
11/1/2024*A job posting is effective until 11:59:59PM on the day BEFORE the listed job posting end date. Please ensure you apply to a job posting no later than the day BEFORE the job posting end date.
* Salary range is an estimate based on our AI, ML, Data Science Salary Index 💰
Tags: Architecture AWS Big Data Computer Science Databricks Data management Data Warehousing Engineering Python Scala Security Spark SQL
Perks/benefits: Career development Competitive pay Flex hours Health care Parental leave Relocation support Team events
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