Position: Senior Data Engineer
Company: SoftHouseGroup
Category: Data Engineer
Experience required: 5y
English level: upper
Published: 2022-06-01T00:00:00+03:00

A big international SaaS platform that allows salespeople to focus on selling, thanks to accurate contact and company data is expanding activities in Ukraine.
The main product: enriched information for sales professionals can identify, engage and close prospects, thanks to the prospecting platform, web extension, and API. We already work with Zendesk, Uber, Dropbox. In 2020 we were named Top 100 G2 Best Software Company and Top 100 Fastest-Growing product.
 
** Required skills:**
- 5+ years of experience as a Data Engineer
- 3+ years experience as a Python 
- Highly skilled in software development best practices and CI\CD
- Experience implementing algorithmic solutions and data mining methodologies
- Experience working with cloud environments (AWS preferable)
- Experience working on data products - advantage
- Experience with working with Data Lake - advantage
- Familiarity with following tools: Spark, Docker, Kubernetes, AirFlow, Jenkins advantage
- Experience with working with various database engines (relational, document storage, key-value, timeseries) - ElasticSearch, Redis, Postgres, MySql
 
 **You will:**
- Design and implement high scale and data-intensive platform
- Participate in  the most significant projects in the company
- Research and implement algorithmic solutions
- Be a part of a heterogeneous team of backend and data engineers

**Daily responsibilities:**
A data engineer is an IT worker whose primary job is to prepare data for analytical or operational uses. These software engineers are typically responsible for building data pipelines to bring together information from different source systems. They integrate, consolidate and cleanse data and structure it for use in analytics applications. They aim to make data easily accessible and to optimize their organization's big data ecosystem
The team is in charge of the logical domain of Companies data.
It includes data processing infrastructure, etls and data research.
Tech: Spark, Databricks, Airflow, Kafka, AWS data stack.
 
 **What do we offer:**
- flexible working arrangements; 
- medical insurance;
- challenging, and fast-growing product;
- autonomous team structure with a lot of freedom and ownership;
- opportunities to own development from start to finish;
- opportunity to work in English speaking environment;
- paid vacations and sick leaves.

**Looking forward to working with you! 
SoftHouseGroup team**