Senior Data Engineer

Job Description

For the Data Engineer role, we are looking for professional with experience in designing, developing, and maintaining data pipelines. We intend to make data reliable, governed, secure and available for analytics within the organization. As part of a team this role will be responsible for data management with a broad range of activities like data ingestion to cloud data lakes and warehouses, quality control, metadata management and orchestration of machine learning models. We are also forward looking and plan to bring innovations like data mesh and data fabric into our ecosystem of tools and processes.

Our technology teams operate as business partners, proposing ideas and innovative solutions that enable new organizational capabilities. We collaborate internationally to deliver services and solutions that help everyone be more productive and enable innovation.

Key Responsibilities

• Design, develop and maintain data pipelines to extract data from a variety of sources and populate data lake and data warehouse

• Develop the various data transformation rules and data modeling capabilities

• Collaborate with data analysts, data scientists, machine learning engineers to identify and transform data for ingestion, exploration, and modeling

• 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/ETL pipelines

• Develop pipelines to ingest data into cloud data warehouses

• Analyze data using SQL

• Use serverless AWS services like Glue, Lambda, Step Functions

• Use Terraform code to deploy on AWS

• Containerize python code using Docker

• Use git for version control and understand various branching strategies

• Build pipelines to work with large datasets using PySpark

• Develop proof of concepts using Jupyter Notebooks

• Work as part of an agile team

• Create technical documentation as needed

Qualifications

• From 4 to 8 years of relevant experience 

• Good experience with AWS services like S3, ECS, Fargate, Glue

• Any AWS developer or architect certification

• Agile development methodology

• Step Functions, CloudWatch, Lambda, EMR

• SQL 

• Proficient in python, PySpark

• Good with git, Docker, Terraform

• Ability to work in cross functional teams

Our 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, 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

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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. 

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