Senior Data Engineer

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.

REQUIREMENTS

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.