Position: Data Engineer
Company: RecruitGarden
Experience required: 5y
Category: Data Engineer
English level: intermediate
Published: 2023-02-01T00:00:00+02:00

**Is your job stable enough in a current world crisis? We’re looking for a Data Engineer in a sustainable telecom-product that has been growing since 2007. Development of a communication platform for AliExpress and other big businesses. TOP-team, remote or office in Bulgaria. Let’s discuss?**

The Data Engineer will support software developers, database architects, data analysts and data scientists on data initiatives and will ensure optimal data delivery architecture is consistent throughout ongoing projects. They must be self-directed and comfortable supporting the data needs of multiple teams, systems and products. The right candidate will be excited by the prospect of optimizing or even re-designing our company’s data architecture to support our next generation of products and data initiatives.

**Now we are looking for a Data Engineer**, a candidate with 5+ years of experience in a Data Engineer role, who has attained a Graduate degree in Computer Science, Statistics, Informatics, Information Systems or another quantitative field.

**Responsibilities:**

Create and maintain optimal data pipeline architecture;
Assemble large, complex data sets that meet functional / non-functional business requirements;
Build the infrastructure required for optimal extraction, transformation, and loading of data from a wide variety of data sources using SQL and GCP ‘big data’ technologies;
Work with stakeholders including the Executive, Product, Data Analyst to assist with data-related technical issues and support their data infrastructure needs.

**Qualifications:**

Advanced working SQL/Python knowledge and experience working with relational databases, query authoring (SQL) as well as working familiarity with a variety of databases;
Experience building and optimizing ‘big data’ data pipelines, architectures and data sets;
Build processes supporting data transformation, data structures, metadata, dependency and workload management;
Working knowledge of message queuing, stream processing, and highly scalable ‘big data’ data stores.

**Requirements:**

Experience with big data tools: Kafka, BigQuery, etc.;
Experience with relational SQL and NoSQL databases;
Experience with data pipeline and workflow management tools: Airflow and etc.;
Experience with GCP cloud services.

**We offer:**

Professional development; 
Young and friendly working atmosphere;
Flexible working format – remote, office-based or hybrid;
Medical insurance;
Variety of bonuses;
No overtime, screen catchers and keyloggers;
Sport cards;
Educational events & courses compensation, English classes with a native speaker;
Team buildings, corporate gifts and other perks.