Lead Data Engineer

3 weeks ago

Prague, Hlavní město Praha, Czech Republic MSD Full time

Job Description

You will be part of the Scientific Data product line team. In this role, they will collaborate with multi-disciplinary teams, including product teams, technical teams, subject matter experts, and stakeholders helping to solve complex data problems and building data products to enable AI/ML. They will have to understand complexities of Research data and work with the product team to make data understandable and analytics ready. In this role they have to define, design, develop and maintain data products.

The Scientific Data Product Line is responsibling for enabling data for the Discovery, Preclinical, Tranlational Medicine (DPTM) and Developmental Sciences and Clinical Sciences (DSCS) organizations to get to better and faster insights.

Primary Responsibilities

  • Understand user problems and pain points. Design and develop solutions to address business needs using enterprise solutions
  • Lead data engineers on the team to ensure solution are fit for purpose and align to enterprise needs
  • Design, develop and maintain data pipelines to extract data from a variety of sources and populate data lake, data warehouse and Lakehouse
  • Develop the various data transformation rules and data modeling capabilities
  • Collaborate with Product Analyst, Data Scientists, Machine Learning Engineers to identify and transform data to make data understandable
  • Work with data governance team and implement data quality checks and maintain data catalogs
  • Use Orchestration, logging, and monitoring tools to build resilient pipelines
  • Use test driven development methodology when building ELT pipelines
  • Use Git for version control and understand various branching strategies
  • Work as part of an Agile team
  • Describes what to solve by writing problem statements and requirements and facilitates the "how" with the development team
  • Planning, designing, and conducting testing activities, and compiling critical content for training and communication for our users
  • Design and implement test cases
  • Create technical documentation as needed for SDLC
  • Partner with business and IT leadership to formulate business cases

Required Experience and Skills

  • B.Sc. or higher degree in Computer Science or Chemistry equivalent field required
  • Minimum 3-5 years working with customers to define requirements, preferably data
  • Domain knowledge - Pharmaceutical drug discovery and pre-clinical development
  • Hands-on experience with AWS services (S3, IAM, Redshift, SageMaker, Glue, Lambda, Step Functions, CloudWatch)
  • Experience with platforms like Databricks, Dataiku, Delta Lake
  • Experience with data governance, quality checks, and data catalog capabilities
  • Information architecture background
  • Experience with data integration & transformation tools – AWS Glue, Starburst Trino, Databricks
  • Proficient in Python
  • Proficient with SQL – Redshift preferred
  • Proficient in CI/CD using GitHub Actions, Jenkins, CloudFormation, Terraform, Git, Docker, Apache Airflow
  • 2-3 years of experience in Spark – PySpark
  • Demonstrates growth and product mindset
  • Ability to work in a cross functional team setup
  • Be able to work independently, anticipating and resolving problems
  • Excellent written and verbal communications skills
  • Effectively engage both technical and non-technical stakeholders and users

Preferred Experience and Skills

  • Any AWS developer or architect certification
  • Experience in Java
  • Experience with Matillion ETL for Data Transformation
  • Experience working in Agile software development
  • Familiarity with NoSQL Databases
  • Familarity with ontologies and use of ontologies to create data products

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
  • 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, Foodora, and discount programmes
  • Up-to-date laptop and iPhone
  • Parking in the garage, showers, refreshments, massage chairs, library, music corner
  • Competitive salary, incentive pay, 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:

Business Intelligence (BI), Database Administration, Data Engineering, Data Governance, Data Integration, Data Lake, Data Management, Data Modeling, Data Pipelines, Data Quality, Data Transformation, Data Visualization, Design, Design Applications, Git, Information Management, Python (Programming Language), Software Development, Software Development Life Cycle (SDLC), Solutions Development, System Designs, Teamwork, Version Control

Preferred Skills:

Agile Methodology, Databricks Platform

Job Posting End Date:

09/1/2024

*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.

Job Posting End Date:09/01/2024

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.

Requisition ID:R309248

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