Description
Lusha is 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 Lusha’s 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.
You are:
Autodidact. You love challenges, and you are highly motivated.
Think before you code - “Good software design and architecture come from the whiteboard and not from the keyboard.”
Ambitious. You are eager to make an impact and lead by example. You want to grow, you thrive in a fast-moving, dynamic growth environment, and are able to operate at the strategic level and the micro-detail to get things right.
Independent. You pick things up quickly and are able to execute independently from ideation to implementation.
Results-driven. You have a can-do approach and drive to exceed your goals.
Data-oriented. You like analyzing and working with data.
Organized. You are able to manage highly interdependent, multifaceted projects and keep various work streams on track - even those with many moving parts.
A team player. You collaborate with the team and cross-team members to achieve your goals.
Qualifications
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.