MSD Technical Lead Data Engineering Associate Director 

Czechia 

866359489

Job Description

The Scientific Data Product Line is responsible for enabling data for the Discovery, Preclinical, Translational Medicine (DPTM) and Developmental Sciences and Clinical Sciences (DSCS) organizations to get to better and faster insights in the drug discovery process.

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

• Experience with data integration & transformation tools – AWS Glue, Starburst Trino, Databricks

• Proficient in CI/CD using GitHub Actions, Jenkins, CloudFormation, Terraform, Git, Docker, Apache Airflow

• Proficient in Python, 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

• Familiarity with ontologies and use of them 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 Mall.cz 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

Current Contingent Workers apply

Agile Methodology, Databricks Platform

*A job posting is effective until 11:59:59PM on the dayBEFOREthe listed job posting end date. Please ensure you apply to a job posting no later than the dayBEFOREthe job posting end date.

10/01/2024

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.