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 it’s not in the product yet)

• Want to learn? Competera loves 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