Middle Data Engineer Offline

Ukrainian Product πŸ‡ΊπŸ‡¦

We invite those who fired up to:

β€” Working with big enough datasets (100+ TB) which must be updated at least with hourly frequency;

β€” DWH components: AWS (S3, Athena, Redshift), GCP(Cloud Storage, BigQuery), PostgreSQL;

β€” Data collection: Kafka, Google Analytics, Firebase, Appsflyer, Cloudflare, other 3rd party apps;

β€” Data modelling: building centralised data catalog with well validated and documented data marts;

β€” Data quality / integrity testing automation;

β€” Designing and implementing REST based APIs;

β€” Development and support of ETL / ELT processes;

β€” Creation and support of project documentation.

 

 

Essential professional experience:

β€” 2+ years experience Python / Data Engineer;

β€” Hands-on experience with following technologies:

β€” Designing, implementing RESTful API’s (Aiohttp, Flask, FastAPI);

β€” Relational databases (PostgreSQL, Microsoft SQL Server);

β€” Job scheduling, task queues;

β€” Cloud providers: Google Cloud Platform (Cloud Storage, BigQuery),

β€” AWS (S3, Athena, Redshift) etc.;

β€” Linux, Docker;

β€” Incorporating and utilising BDD / TDD / Unit testing;

β€” Exceptional problem solving, technical and data analysis skills;

β€” Extensive knowledge of best practices in software design and design patterns;

β€” Strong Computer Science fundamentals;

β€” Knowledge in database theory: types, their pros and cons;

β€” Knowledge in performance tuning of ETL Jobs, SQL’s, Partitioning, Indexing;

β€” Hands-on experience with ETL, Data Warehousing tasks;

β€” Solid understanding of git flow best practices.

 

Will be a plus:

β€” Familiarity with WEB / Mobile applications data sources;

β€” Hands-on experience with following technologies:

β€” Kubernetes;

β€” Apache Airflow;

β€” NoSQL databases (Elasticsearch, Redis, MongoDB);

β€” Kafka, Kafka Connect, Kafka Streams;

β€” NoSQL databases: MongoDB, ElasticSearch, Redis;

β€” IaC: Terraform, Ansible;

β€” Saleforce: CRM and Marketing platform;

β€” Graph databases (Neo4j, AgensGraph);

β€” Near real time data processing;

β€” Data visualisation tools (Tableau, PowerBI, QlikView, Metabase, Apache β€” Superset, Grafana, Kibana etc.).

 

We care of your:

Health

β€” Medical insurance/Sport compensation;

β€” Sport club participation (football, running, basketball or swimming clubs);

β€” 100% paid sick leaves;

β€” 20 working days of paid vacation.

 

Wealth

β€” Competitive salary and сonstant encouragement for your efforts and contribution;

β€” Bonuses according to company’s policy;

β€” Welfare (financial support in critical situation);

β€” Gifts for significant life events (marriage, childbirth).

 

Personal and professional growth

β€” Individual annual training budget with an opportunity to visit paid conferences, training sessions, workshops etc.;

β€” Free corporate library;

β€” Opportunity to visit our non-stop internal meetups: open talks, IT Pump, etc. as a participant or a speaker and exchange knowledge;

β€” A world-class team of T-shaped skilled professionals that share knowledge and support each other.

 

Leisure time

β€” Corporate parties and events (Pub Quiz, Carquest, etc.);

β€” PM Foundation activities (social responsibility events);

β€” Weekly events aimed at culture, arts, soft skills development

The job ad is no longer active
Job unpublished on 22 July 2022

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