DevOps Data Engineer; Digital Marketing sphere

Coherent Solutions is a digital product engineering company focused on empowering business success. Our global team of 1700+ talented professionals collaborate seamlessly to deliver innovative solutions that drive measurable business impact. Headquartered in Minneapolis, USA, the company’s core competencies across 10 locations worldwide include product software development, IT consulting, data and analytics, machine learning, mobile app development, Dev Ops, Salesforce, and more.

We grow a team of advisors, not just order takers, and strive to make the company a place for career growth and opportunities. If you want to grow your core competencies, share your passion and be sure that every contribution is evaluated, we are on the same page.

Our client is a global technology company transforming the way brands and agencies make marketing decisions. Its platform enables marketers to plan and activate cross‑channel, programmatic media campaigns using real‑time research, proprietary audience data, advanced analytics, and more than 150 integrated partners including Facebook, Instagram, Pinterest, Snapchat, and Twitter. The company operates across North America, Europe, the Middle East, Asia, and Australia.

We’re looking for a Dev Ops Engineer to build, operate, and scale the platforms behind data systems, run containerized workloads on Kubernetes and Linux‑based environments, and help keep batch and streaming data pipelines reliable at scale.

• Spark, Python
• AWS or other cloud platforms

• Build, operate, and scale containerized data infrastructure on Kubernetes and/or Linux‑based systems;
• Work with distributed data processing engines, such as Spark, across batch and streaming workloads;
• Develop automation scripts and internal tooling using Python;
• Improve reliability, observability, and performance of distributed systems;
• Support infrastructure operations, troubleshooting, and continuous improvement of platform stability;

• 3+ years of commercial experience in Dev Ops, Infrastructure, or similar engineering roles;
• Hands‑on experience with containers and Kubernetes;
• Good understanding of distributed systems and data infrastructure concepts;
• Good Python scripting experience for automation and tooling;
• Hands‑on experience with at least one cloud platform, preferably AWS;
• Experience with version control and CI/CD tools, such as Git Lab or Git Hub;
• Strong English communication skills, B1+ level or higher;
• Ability to work independently and collaborate effectively within a team;

• Exposure to data warehouses, data lakes, or distributed data processing frameworks such as Hadoop, Spark, Flink, or Trino across batch and/or streaming workloads;
• Experience with Git Ops tools, such as ArgoCD or Flux;
• Experience administering at least one No
  
  SQL database, such as Redis, Elasticsearch, or MongoDB;
• Previous experience as a Data Engineer or Software Engineer with an infrastructure background;

The global benefits package includes:

• Technical and non‑technical training for professional and personal growth;
• Internal conferences and meetups to learn from industry experts;
• Support and mentorship from an experienced employee to help you professional grow and development;
• Health insurance;
• Sports activities to promote a healthy lifestyle;
• Flexible work options, including remote and hybrid opportunities;
• Referral program for bringing in new talent;
• Work anniversary program and additional vacation days.