Senior Data Engineer

The team's main responsibility is developing data platform - from ingesting all its data received from customer's data-lakes to allowing complex logic and pipelines to create machine
learning insights and actionable decisions to drive the company's core product offering

Responsibilities:
● Design & implementation of high-quality and large-scale cloud data infrastructure and
pipelines with optimized performance and easy maintenance.
● Collaborate with cross-functional teams, including analysts, data scientists, researchers,
developers and product managers to drive together the development of new products
and features
● Monitoring performance and prioritizing work by making data-driven decisions
● Drive and coordinate cross-R&D product workflows and initiatives
● Participate in code reviews and ensure adherence to coding standards and best
practices.

Requirements:
● 5+ years of hands-on experience in building large complex and scalable data
infrastructures - including architecture design, research, development and testing.
Experience with modern data lakes / warehouses such as Snowflake / Databricks and
tools such as Spark, Kafka, BigQuery / Athena, Airflow / DBT / AWS Glue.
● Solid understanding of software design principles - concurrency, synchronization,
memory management, data structures, cost analysis.
● Experience with data governance practices - data security, regulation, and performance.
● A "can-do" attitude and a strong sense of ownership.
● A team player with excellent communication skills, independent learning capability and
curiosity to explore new fields and achieve constant improvement
● BSc in Computer Science, Engineering or equivalent. MSc

Advantage
● Experience with BI and analytics software such as Tableau / Metabase / Looker etc
● Containers and orchestration - Docker, K8S