Senior Data Engineer - CTO Office

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.
• Improve and propose new algorithmic solutions for our state of the art search engine
• Work with a product manager and seeing the bigger picture and business requirements
• 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.
• 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 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 Dockers.
• Experience with Data Lake, Spark - Advantage.
• Experience with ML algorithms - 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, graphs, vector dbs) - ElasticSearch, Redis, Postgres, MySql.