we are growing rapidly, and we are searching for an experienced Data Engineer to join us!
If you are a highly skilled software engineer experienced in solving complex algorithmic and engineering (preferably data) challenges, with a strong knowledge of a wide range of technologies and solutions as a Data Engineer and someone who thrives in a cross-functional and fast-paced environment – continue reading 🙂
You will:
Design and implement our high-scale and data-intensive platform.
Analyze, develop and execute data integration solutions in order to manage the information lifecycle needs of our business units.
Participate in the most significant projects in the company.
Research and implement algorithmic solutions.
If you are a highly skilled software engineer experienced in solving complex algorithmic and engineering (preferably data) challenges, with a strong knowledge of a wide range of technologies and solutions as a Data Engineer and someone who thrives in a cross-functional and fast-paced environment – continue reading 🙂
You will:
Design and implement our high-scale and data-intensive platform.
Analyze, develop and execute data integration solutions in order to manage the information lifecycle needs of our business units.
Participate in the most significant projects in the company.
Research and implement algorithmic solutions.
Requirements:
5+ years experience in designing and implementing server-side Data solutions.
5+ years programming experience, preferably in Python and SQL.
Experience implementing algorithmic solutions, data mining, and analytical methodologies.
Able to use orchestration frameworks such as Airflow, Kubernetes, and Docker Swarm.
Experience with Data Lake, Spark – Advantage.
Familiarity with AWS ecosystem – Advantage.
Familiarity with the following tools: Kafka, DataBricks, Jenkins – advantage.
Experience working with various database engines (relational, document storage, key-value, time series) – ElasticSearch, Redis, Postgres, MySql.
5+ years experience in designing and implementing server-side Data solutions.
5+ years programming experience, preferably in Python and SQL.
Experience implementing algorithmic solutions, data mining, and analytical methodologies.
Able to use orchestration frameworks such as Airflow, Kubernetes, and Docker Swarm.
Experience with Data Lake, Spark – Advantage.
Familiarity with AWS ecosystem – Advantage.
Familiarity with the following tools: Kafka, DataBricks, Jenkins – advantage.
Experience working with various database engines (relational, document storage, key-value, time series) – ElasticSearch, Redis, Postgres, MySql.
This position is open to all candidates.
