Senior Data Engineer Offline

Hi! We are looking for a Senior Data Engineer for a long-term collaboration with a leading global company in digital media analytics. This international organization has offices around the world and helps top brands optimize and secure their online advertising.

Responsibilities:

• Build scalable data pipelines.
• Integrate data from multiple sources.
• Optimize data storage and processing.
• Develop APIs for data access and integration.
• Work in cloud infrastructure (GCP).
• Participate in architectural initiatives and collaborate with the Architecture Team on key projects

Requirements:

• 4+ years of programming experience in coding, object-oriented design, and/or functional programming, including Python.
• Excellent SQL query writing abilities and data understanding
• Experience with Airflow and DBT
• Worked with data warehouses like Google BigQuery or Snowflake
• Experience building APIs in Python (FastAPI)
• Cloud environment, Google Cloud Platform
• Container technologies - Docker / Kubernetes
• Understanding of distributed system technologies, standards, and protocols, and have 2+ years of experience working in distributed systems like Spark, Kafka Eco System (Kafka Connect, Kafka Streams, or Kinesis), and building data pipelines at scale
• Spoken and written English

We offer:

• Work schedule is flexible — fixed amount of hours that you need to work per month
• 20 days off per year (10 days every 6 months are charged), unused days do not burn out
• Reimbursement of 5 sick days per year
• Partial compensation for external courses/conferences (after the completion of the Adaptation Period)
• Partial compensation for external professional certifications
• English group lessons in the office with teachers (free of charge; 2 times a week)
• Reimbursement for sports or massage
• Large library with a scheduled purchase of new books every half a year
• Yearly Individual Development Plan (after the completion of the Adaptation Period)

Send us your resume! We’ll be glad to talk with you in more detail!