Data Infra Engineering

Tel Aviv-Yafo, Tel Aviv District, IL

Lusha

Lusha provides high quality, unique premium data where you need it most: On social networks, the web, Salesforce or directly on your product.

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Description

Join Lusha, where culture isn't just a label—it's our DNA. We're dreamers, innovators, and learners, driven by simplicity, collaboration, and trust. At Lusha, every voice matters, and together, we shape a company we're proud of. Ready to be part of something truly unique? Join us and let's grow better together.

As a Lusha employee, you’ll empower B2B sales professionals globally to unlock lucrative revenue opportunities and drive sustainable growth. With over 1 million users and a database of 200+ million entries, your contributions will directly impact our customers, revolutionizing the way they approach sales and positioning them for long-term success in a competitive marketplace. With 40,000 new signups benefiting from our dynamic platform each month, your role is crucial in continuing to enhance and expand our offerings. You’ll help deliver exceptional value to our growing user community, ensuring they have the best tools at their disposal to succeed in a competitive marketplace.

We are looking for a Data Infrastructure Engineer to join our team and take a pivotal role in building and maintaining a state-of-the-art data infrastructure. You will oversee the end-to-end data architecture for our growing products, ensuring that the infrastructure is scalable, performant, and optimized for both cost and reliability.

Where does this role fit in our vision?

Every role at our company is designed with a clear purpose—to integrate collective efforts into our shared success, functioning as pieces of a collective brain. At Lusha, data is at the heart of everything we do. Our data engineers are responsible for building the core products that drive our business. The data group owns and manages the pipelines that create Lusha's assets, with a strong focus on the company KPIs.

How you’ll shape the future of B2B sales?

Build and Maintain Data Infrastructure: Design, develop, and maintain a modern Data Lake infrastructure to support a variety of data sources and workloads.

End-to-End Data Architecture: Lead the design and evolution of data architecture for our products, ensuring that systems are scalable, secure, and optimized.

Data Governance: manage and catalog our data assets, implement data observability and monitoring tools

Monitor and Maintain Data Platforms: Ensure continuous, reliable performance of data platforms through proactive monitoring, troubleshooting, and optimization of workloads, queries, and infrastructure.

Utilize Modern Data Technologies: Work with technologies such as Apache Spark, Databricks, Elasticsearch, Kafka, and Kubernetes to build and maintain cutting-edge data systems.

Collaborate with DE, DS, and DevOps Teams: Work closely with Data Engineering, Data Science, and DevOps teams to integrate and support ML and Data-Driven solutions into a sustainable production environment.

Requirements

Here’s what we need from you

  • 5+ years of programming experience, preferably in Python and SQL, and Proven experience designing, developing, and maintaining scalable production data solutions and infrastructure.
  • Strong knowledge of Data Lakes, data warehouses, Big Data platforms, and building complex data pipelines.
  • Hands-on experience with cloud computing services (AWS, GCP, or Azure) and Apache Spark
  • Familiarity with Databricks in the AWS cloud is a huge advantage.
  • Experience working with various database engines, including relational (Postgres, MySQL), and no-sql such as MongoDB, Redis, and Elasticsearch.
  • Familiarity with CDC methodologies and infrastructure
  • Proficiency in writing, debugging, and optimizing distributed systems, with a strong understanding of data orchestration and automation tools (e.g., Airflow, Kubernetes, Kafka)
  • Experience in building and maintaining infrastructure for processing large datasets, particularly for ML model training and serving pipelines
  • Deep expertise in Data pipeline (ETL) processes, including data ingestion, transformation, modeling, and monitoring, ensure efficient, scalable, and reliable ML & Data pipelines.
  • Experience with Python environments, Poetry, and packaging management
  • Ability to work effectively in cross-functional teams with excellent communication skills.

How will you innovate? How will you learn? 

As a growth-stage company constantly evolving, you'll find opportunities to tackle unique projects and initiatives, all while being part of a thriving company that has evolved from its startup roots. You'll play a crucial role in our journey, with plenty of room to grow professionally. As we move forward, you'll have a stake in our success, sharing in the rewards as we expand and innovate together, continuously learning along the way.

Why Lusha? It’s simple

Established in 2016 by Assaf Eisenstein and Yoni Tserruya, Lusha's dream is to revolutionize the B2B sales landscape. With significant investments totaling $240 million, we've transitioned from our bootstrap origins to unicorn status with a value estimation of $1.5 billion. This journey reflects our unwavering commitment to innovation and excellence as we continuously set new standards in the industry. Trusted by industry giants like Zendesk, Google, and Yotpo, Lusha is the go-to resource for sales intelligence, having started as a profitable bootstrap company and survived solely on profits for 4.5 years. Join us and experience a career journey as distinct and dynamic as you are.

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* Salary range is an estimate based on our AI, ML, Data Science Salary Index 💰

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Category: Engineering Jobs

Tags: Airflow Architecture AWS Azure Big Data Databricks Data governance Data pipelines DevOps Distributed Systems Elasticsearch Engineering ETL GCP Kafka KPIs Kubernetes Machine Learning Model training MongoDB MySQL Pipelines PostgreSQL Python Spark SQL

Perks/benefits: Career development Startup environment

Region: Middle East
Country: Israel

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