Senior Databricks Engineer

Job Description

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

Search Firm Representatives Please Read Carefully 
Merck & Co., Inc., Rahway, NJ, USA, also known as Merck Sharp & Dohme LLC, Rahway, NJ, USA, does not accept unsolicited assistance from search firms for employment opportunities. All CVs / resumes submitted by search firms to any employee at our company without a valid written search agreement in place for this position will be deemed the sole property of our company.  No fee will be paid in the event a candidate is hired by our company as a result of an agency referral where no pre-existing agreement is in place. Where agency agreements are in place, introductions are position specific. Please, no phone calls or emails. 

Employee Status:

Regular

Relocation:

VISA Sponsorship:

Travel Requirements:

Flexible Work Arrangements:

Hybrid

Shift:

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 Infrastructures

Preferred Skills:

Architecture Development, Building Architecture, Data Lake, Programming Languages, Python (Programming Language), Structured Query Language (SQL), Technical Solutions

Job Posting End Date:

08/4/2024

*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.