Position: Big Data Engineer
Company: GR8 Tech
Experience required: 3y
Category: Data Engineer
English level: pre
Published: 2023-02-01T00:00:00+02:00

Parimatch Tech is an international product company that develops and provides tech and marketing solutions for the Gaming & Entertainment industry. Headquartered in Cyprus and operating globally, the company has R&D centers located in four countries, the largest of which is in Ukraine.

**We invite those who fired up to:**
— Working with big enough datasets (200+ TB) which must be updated at least with hourly frequency;
— DWH components: AWS (S3, Athena, Redshift), GCP(Cloud Storage, BigQuery), PostgreSQL;
— Data collection: Kafka, Google Analytics, Firebase, Appsflyer, Cloudflare, other 3rd party apps;
— Data modelling: building centralised data catalog with well validated and documented data marts;
— Data quality / integrity testing automation;
— Designing and implementing REST based APIs;
— Development and support of ETL / ELT processes;

**Essential professional experience:**
— 3+ years experience Python / Data Engineer;
— Hands-on experience with following technologies:
— Designing, implementing RESTful API’s (Aiohttp, Flask, FastAPI);
— Relational databases (PostgreSQL, Microsoft SQL Server);
— Job scheduling, task queues;
— Cloud providers: AWS (S3, Athena, Redshift), Google Cloud Platform (Cloud Storage, BigQuery), etc.;
— Linux, Docker;
— Incorporating and utilising BDD / TDD / Unit testing;
— Exceptional problem solving, technical and data analysis skills;
— Extensive knowledge of best practices in software design and design patterns;
— Strong Computer Science fundamentals;
— Knowledge in database theory: types, their pros and cons;
— Knowledge in performance tuning of ETL Jobs, SQL’s, Partitioning, Indexing;
— Hands-on experience with ETL, Data Warehousing tasks;
— Solid understanding of git flow best practices.
— Creation and support of project documentation. 

**Desirable skills:**
— Hands-on experience with following technologies:
— Kubernetes;
— Apache Airflow;
— NoSQL databases (Elasticsearch, Redis, MongoDB);
— Kafka, Kafka Connect, Kafka Streams;
— NoSQL databases: MongoDB, ElasticSearch, Redis;
— IaC: Terraform, Ansible;
— Data visualisation tools (Tableau, PowerBI, Superset, Grafana, Kibana etc.).