Here at Lightricks, an award-winning mobile app startup, we’re in the process of scaling up our backend systems in order to meet the growth of our user base. We are looking for a savvy Backend Engineer to join our growing team of data platform experts. The team is responsible for providing high performance, real-time technological solutions to the various data consumers within the company, including BI analysts, marketing analysts, product managers, data scientists and more.

The ideal candidate is an experienced engineer with extensive background in data pipelines and infrastructure who enjoys building near real-time distributed data systems; someone who is excited by the prospect of optimizing and re-designing our company’s data architecture to support our next generation of products and data initiatives.

We're looking for someone who is resourceful, bright, proactive, who works well both independently and as a part of a team, and who is passionate about what they are doing.

• Build and own the infrastructure and services required for processing and storing of data from a wide variety of data sources including mobile apps and internal & external data producers.
• Design and build processes that integrate a wide range of edge systems across multiple cloud providers and hand held platforms reliably.
• Assist data consumers across Lightricks in defining requirements and refining existing processes using a wide variety of tools.
• Define and own the systems and processes that deliver data to the data-warehouse and maintain these systems as well as the data-warehouse itself.
• Identify bottlenecks in internal data processes and work to resolve them by automating processes, optimizing data delivery and storage, re-designing infrastructure for greater scalability, etc.
• Integrate new tools and solutions that can empower the company’s data consumers and help assimilate them.

MINIMAL REQUIREMENTS

• 5+ years of Python/Scala/Java or other modern programming language development experience.
• 2+ years hands-on experience designing, building and optimizing  data-intensive distributed systems.
• 2+ years experience managing payloads running on a major cloud provider.
• Experience working with cross-functional teams in rapidly changing stacks and environments.
• Experience with one or more of the major cloud environments (AWS/GCP/Azure).

PREFERRED ‍REQUIREMENTS

• Experience with Big Data approaches and technologies including Hadoop, Spark, Kafka, Hive, Airflow.
• Functional programming and streaming systems experience, including hands-on experience designing, building and optimizing stream processing (Flink, Storm, Spark Streaming etc.) or functional systems.
• Experience with SQL, data modeling, and relational database as well as a deep understanding of ETL and data warehousing concepts, methodologies, and frameworks.