At Similarweb, we are revolutionizing the way businesses interact with the digital world by revealing to them everything that happens online.
Our unique data and solutions empower over 4,300 customers globally, including industry giants like Google, eBay, and Adidas, to make game-changing decisions that drive their digital strategies. In 2021, we went public on the New York Stock Exchange, and we continue to reach new heights! Come work alongside Similarwebbers across the globe who are bright, curious, practical and good people.
Why is this role so important at Similarweb?
Similarweb is a data company, and the DaaS team is the enabler of that. As a backend engineer, you will be part of paving the way for Similarweb to make the petabyte-scale data accessible to all of our clients via multiple platforms using top-notch big data tools.
So, what will you be doing all day?
Your role as part of the Backend Engineer means your daily responsibilities may include:
Building and maintaining our core DaaS offerings including realtime APIs, big data exporting APIs and data feeds.
Take a major part in designing and implementing complex high scale systems using large variety of technologies
Be part of a team with smart and motivated engineers, collaborate on planning, development and maintenance of our products.
Implement solutions in AWS cloud environment, we especially like serverless services.
Requirements: This is the perfect job for someone who:
Holds a BSc degree in Computer Science or equivalent practical experience.
You love building robust, fault-tolerant, and scalable systems and products
You are a go-getter and a team player with a sense of ownership.
Has at least 4+ years of server-side software development experience in one or more general-purpose programming languages (C#, Go, Python, etc.)
Experience building large-scale web APIs: advantage for working with Microservices architecture, AWS, and databases (DynamoDB, Redis, PostgreSQL, Snowflake, Firebolt)
Familiarity with Big Data technologies: A familiarity with Spark, Databricks, and Airflow is a big advantage.
Worked in a cloud environment such as AWS or GCP, and is familiar with its different services.
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