Senior Cloud Software Engineer

hace 3 semanas


Laza, Orense, España Localstack A tiempo completo
Cloud Data Engineer at LocalStack

We are a fast-growing startup building cutting-edge technology to revolutionize cloud development processes and support highly efficient dev&test feedback loops. Our mission is to empower developers to rapidly build and test their cloud applications, allowing for a more enjoyable dev experience, and saving valuable time and resources.

About the Role

We are looking for a strong lead to take our data platform emulators to the next level. As our customer base is growing and we're seeing an increasing influx of users who are eager to leverage additional features, you'll be working with a top-notch team of highly motivated and exceptionally skilled individuals who are all contributing towards our shared vision of providing the best local cloud development experience out there.

Responsibilities
  • Drive and co-own the development of our Snowflake emulator, a brand-new product we're bringing to the market, with a sizeable number of interested beta users already evaluating the private beta version.
  • Reverse-engineer data platform APIs and queries to reproduce the behaviour locally based on off-the-shelf database products and tools.
  • Write comprehensive unit and integration tests to ensure our implementation is on par with the real system.
  • Conduct technical spikes to evaluate new tools and technologies, document the process and insights on all key architectural decisions made.
  • Integrate suitable open source tools into our solutions, and contribute back to open source projects.
  • Maintain documentation about the internal implementation details, as well as technical roadmaps for new features with milestones and basic effort estimations.
  • Conduct performance evaluations, and apply various optimizations in the ongoing implementation, as applicable.
  • Run internal demos and knowledge sharing sessions to educate the team on the developments in the data platform emulators space.
  • Communicate directly with our customers in different support channels to understand their requirements and use cases, create reproducible samples, and help them resolve any technical issues.
  • Work with our Data team to embed analytics into the product and ensure that we gain insights into common usage patterns and edge cases, learn how we can improve the product, and proactively detect user issues early on.
Requirements
  • Strong hands-on experience with modern Python development (type hinting, unit/integration testing with pytest, object-oriented software design).
  • Strong background in data processing, fundamentals in operating systems, and systems programming in Unix environments.
  • Strong understanding of SQL, different types of DDL/DML/DQL/DCL/DTL queries, syntactical differences between different flavors of SQL.
  • Strong understanding of sessions and transactions in relational databases, transaction isolation levels, managing remote and potentially distributed transactions.
  • Strong proficiency with PostgreSQL, running and configuring Postgres servers, writing custom functions with different language extensions (psql, plpython, plv8).
  • Experience with cloud computing APIs and platforms like AWS or Azure.
  • Ideally hands-on experience working with data platforms like Snowflake and/or AWS Athena, Glue, Redshift.
  • Experience with SQL parsing, query AST modification libraries like sqlglot or others.
  • Decent knowledge of Java and the ecosystem of open-source bigdata platforms, including Presto, Hive, Hadoop, Spark, etc.
  • Prior experience contributing to open source projects on Github is a plus.
  • Experience with compiler technologies and lexers/parsers is a plus.
What We Offer
  • Competitive salary and performance-based bonuses.
  • Opportunities for professional development and training.
  • Dynamic and collaborative work environment.
  • Flexible work arrangements.

We are an equal opportunities employer and welcome applications from all qualified candidates.



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