Senior Data engineer

Job Description

The company creates solutions covering all types of pricing use cases in online, offline, omnichannel, mono- or multi-brand retail. Whether you need to get a 360 maker view, reduce repricing time & efforts, or set prices based on demand patterns and sales cross-impacts.

Tasks
Design, build, extend, and maintain data pipelines and unified integration ETL
Scale the data pipeline throughput using applicable instruments
Introduce and adopt new instruments, technologies and their combinations that will allow the company to scale the data processing speed and performance in a cost-efficient way

Requirements
Proven experience in building data processing pipelines
Experience with workflow automation tools (AirFlow, Prefect, Luigi, etc.)- RDBMS, Column-oriented DBMS (writing queries, db architecture building, administration, etc.)
Apache Spark-
Strong core Python knowledge

Pleasant extras:
ClickHouse
Apache Kafka
CDC (e.g. WAL, Debezium, Kafka)
ksqlDB
Spark SQL
Argo Workflows
GCP: BigQuery, Dataproc, Data Fusion, DataFlow

Benefits
Meaningful work in an agile team of engineers, who turn business ideas into software solutions
Freedom to choose the best suitable technologies to deliver the solution (even if its not in the product yet)
Want to learn? The company that and is eager to cover 60% of your training/courses fee
Fair payout with regular performance-based reviews and stock options plan for top performers-
Remote-first ideology even after the pandemic and the war
Working hours that adapt to your biorhythm
Paid vacation & sick leaves (20 business days each) + 15 days off
Partial medical insurance coverage

Work in Ukraine

Employment Options

Base Salary

72,000 - 80,000 USD

Required Secrurity Clearance Level

Professional Experience

Skills

• ETL
• Python
• Apache Spark
• ClickHouse