5d 5h ago
Data Engineer
Plazo Technologies·General Data Engineering · Technology
📡Fully Remote
airflowclickhousedbtkafka+2
Data Engineer
Plazo Technologies | General Data Engineering | Technology
Fully Remote
Full Time
Source not independently verified
Confirm the company and recruiter through an official company domain before applying. Never pay money, share one-time codes, sign out of your Apple or Google account, install apps or configuration profiles, or run code from a repository sent by a recruiter.
#vacancy #dataengineer
Plazo Technologies is looking for Middle Data engineer
🔺What you'll do: • Design, build and optimize data models and transformation pipelines in our ClickHouse-based warehouse. • Develop and maintain ETL/ELT ingestion from operational databases, event streams and third-party APIs. • Improve performance, stability, and cost of existing pipelines and queries as data volumes grow. • Own data quality - automated tests, freshness and anomaly monitoring, and investigation when something looks wrong. • Work directly with Risk, Collections, Marketing, Finance and Data Science teams to turn business questions into reliable data models. • Support analysts and BI users, and reduce recurring manual requests by productising them.
🔺What we're looking for: • 3+ years of hands-on experience as a Data Engineer, including work in a production analytical warehouse. • ClickHouse - at least 1 year of practical experience. This is a must. Table engines, partitioning, materialized views, and the ability to diagnose slow or memory-heavy queries. • Strong SQL, including window functions, array functions, complex joins and incremental logic on large tables. • Confident Python for data processing, integration and automation. • Practical experience with Apache Airflow - building and debugging DAGs, retries, backfills. • Understanding of streaming and CDC-based replication (Kafka, Debezium or equivalent). • Practical experience with dbt - incremental models, tests, project structure. English at intermediate level or above.
🔺Nice to have: • Experience with BI tools such as Tableau or Apache Superset. • Experience with data quality / observability frameworks. • Fintech or lending background - credit lifecycle, delinquency, provisioning, cohort and LTV reporting. • Understanding data modelling and DWH architecture in-column-oriented DB. • Spanish.
🔺Our stack: Languages: SQL, Python Warehouse: ClickHouse Transformation: dbt Orchestration: Apache Airflow Streaming & ingestion: Kafka, CDC Visualization: Apache Superset, Tableau Infrastructure: Prometheus, Grafana, Docker, Git
📩 Apply: @annakamyak #dataengineer #clickhouse #sql #python #kafka #datajobs #itjobs #hiring
Required Skills
airflowclickhousedbtkafkapythonsql
Required Languages
🇬🇧 English
Key competency: General Data Engineering