Senior Data Engineer

Job Description:

About Merkle

Merkle, a dentsu company, powers the experience economy. For more than 35 years, the company has put people at the heart of its approach to digital business transformation. As the only integrated experience consultancy in the world with a heritage in data science and business performance, Merkle delivers holistic, end-to-end experiences that drive growth, engagement, and loyalty. Merkle’s expertise has earned recognition as a “Leader” by top industry analyst firms, in categories such as digital transformation and commerce, experience design, engineering and technology integration, digital marketing, data science, CRM and loyalty, and customer data management. With more than 16,000 employees, Merkle operates in 30+ countries throughout the Americas, EMEA, and APAC. For more information, visit www.merkle.com. 

Job Description:

• Use CI/CD tools to facilitate deployment of code to stage and production environments.
• Participate on architecture of end-to-end solutions for our customers on AWS, Azure and other cloud platforms.
• Maintain GIT repositories using Gitflow framework.
• Collaborate on feature deliverables to meet milestones and quality expectations.
• Communicate with the stakeholders, vendors and technology subject matter experts.
• Document implemented logic in a structured manner using Confluence; plan your activities using Agile methodology in Jira.
• Work with stakeholders to assist with data-related technical issues and support their data infrastructure needs, like optimizing existing data delivery, re-designing infrastructure for greater scalability, etc.

Requirements:

• Experience in building and productionizing public cloud infrastructure.
• Experience using GitHub, Bitbucket or other code repository solution.
• Experience in setting up and using CI/CD automation tools like like Github Actions, Azure DevOps or AWS CodePipeline.
• Experience with infrastructure as a code frameworks like Terraform, AWS CloudFormation, ARM templates.
• Understanding of containerization concepts and container orchestration services like Docker, Fargate, Kubernetes.
• Experience with scripting languages like Python, Bash, PowerShell etc.
• Strong analytic skills related to working with structured and unstructured datasets.
• Person who is precise, well organized, has good communication skill, can adapt to changing circumstances and is not afraid of responsibility for his / her work will do great in this role.

Preferred Skills:

• Understanding data concepts and patterns of big data, data lake, lambda architecture, stream processing, DWH, BI & reporting.
• Experience with data pipeline / workflow management tools like dbt, AWS Step Functions, AWS Glue, Azure Data Factory, Airflow.
• Knowledge of SQL

With us, you will become part of:

• An international, amazing team, where you can gain new/relevant experience
• A dynamic and supportive environment where you will never happen to fall into a routine
• Possibility to grow, in accordance with your skills and interests connected with future development
• Start-up agile atmosphere
• Friendly international team of creative minds

We, obviously, offer even more:

⛺ 5 weeks of vacation + 3 wellness days

❤️ 2 Volunteering days to share the kindness of your heart with others

⏰ Flexible working hours and home office

🎯 Fully covered certifications in Salesforce, Adobe, Microsoft, etc.

🎓 Full access to Dentsu Academy, on-site learning sessions

🐶 Dog friendly offices

💌 Edenred meal and cafeteria points

🍹 Team events: company parties, breakfasts, and pub quizzes

🥪 Snacks, and drinks at the office

💸 Referral bonus programme

💻 Laptop + equipment

📞 Corporate mobile phone subscription

#LI-MERKLE

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