Senior Data Engineer

GitGuardian is a global post-series B cybersecurity startup; we’ve raised $44M by the end of 2021 with American and European investors including top-tier VC firms.

More than ever in 2023, we have a very solid business model with a fast-growing ARR, multi-year contracts and great customer retention rates.

Among our early investors who saw our market value proposition, are the co-founder of GitHub, Scott Chacon, along with Docker co-founder / CTO Solomon Hykes 👀

We develop code security solutions for the DevOps generation and are a leader in the market of secrets detection & remediation.

Our solutions are already used by hundreds of thousands of developers in all industries and GitGuardian Internal monitoring is the n°1 security app on the GitHub marketplace 🔥

We work with some of the largest IT outsourcing companies, publicly listed companies like Talend or tech companies like Datadog.

More than 85% of our customers are in the United States.

Context

• Our products are a set of tools that scan GitHub public activity and git private repositories. 

• They are used by different teams: Software Development and Ops teams, Application Security, Threat Response and the buying decision comes from CISOs / CTOs / Directors of Security.

• By design GitGuardian is a data driven company. Both co-founders are former Data Scientists and the first product of GitGuardian is real-time processing of all new GitHub events. Our secret detection engine has been battle tested against huge amounts of data.

That’s why building data products that provide useful insights of the business is a key responsibility within our organization, your work will matter and will be taken seriously !

Missions

• Design, build and maintain the company’s central Data Warehouse: infrastructure deployment, sources integration, pipeline development and optimisation, data documentation, data quality monitoring

• Enrich the Enterprise Data Model by modeling business entities and events, designed to enable and support the highest levels of accuracy and quality for reporting and analytics

• Stay up-to-date with the latest industry trends, technologies, and best practices in Data Engineering and contribute to the overall Data strategy and roadmap

• Provide technical leadership, mentorship, and guidance to junior data engineers, including code reviews, best practices, and knowledge sharing

• Implement data security and privacy best practices, including data encryption, data masking, and access controls, to protect sensitive data

Advantages

• You will create data features that bring high value to the business

• You will be working on a cutting-edge technology for Cloud Data Warehouse

• The data ecosystem is very diverse (Amazon RDS for PostgreSQL, Elasticsearch, MongoDB, various SaaS providers)

• The Data Team builds and maintains its own infrastructure with high standards in terms of automation and IaC thanks to a close collaboration with the DevOps team

• You will be part of a scale-up adventure with a strong engineering culture

Our technical stack

• Snowflake

• PostgreSQL, Elasticsearch, MongoDB

• Airbyte

• Metabase, Tableau

• GitLab

• AWS, Terraform, Docker, Kubernetes

_If you think you are only matching 70% to 80% of these criterias, please send us your resume !
And if you still have some questions before applying, you can directly write to us at :_ 

careers@gitguardian.com 

Hard skills

• 5+ years of hands-on experience in designing, developing, and implementing complex data pipelines and ETL processes

• Strong programming skills in one or more programming languages focused on data processing (Python, Scala …) along with skills in application best practices (code modularity, unit tests, documentation, etc)

• Strong knowledge of data structures, Data Warehouse, data modelisation and structuration

• Experience with cloud-based data platforms, and proficiency in using Cloud Data Warehouse such as Snowflake or BigQuery

• Strong database and SQL skills, including experience with relational databases such as PostgreSQL, and familiarity with NoSQL databases, such as MongoDB or Elasticsearch

• Affinity with Ops topics (CI/CD, monitoring, infrastructure, finops) and tools (Terraform, Ansible)

• Experience with Data Visualization tools, such as Metabase or Tableau, is a plus

• Familiarity with Machine Learning and Data Science concepts is a plus

Soft skills

• You like to analyze data and extract useful insights

• You are above average in terms of rigor and autonomy, and you always check your results against expectations

• You like to write high quality and re-usable code

• You are autonomous, proactive and curious

• You are a team player with strong communication skills

• You are able to work in a fast-paced and dynamic environment, and adapt to changing requirements

• You speak fluent French and English

Bonus points

• You don’t embed API keys in your code ;)

• Deep understanding of the startups dynamics and challenges

• Have experienced strong team growth in a previous company

1 visio call with a recruiter

To discover your professional project, present to you the team, and evaluate if there could be a mutual match

1 technical interview with the Lead Data Engineer Alexis

To evaluate your hard skills for the position and project yourself into the role

1 technical test depending on your seniority

To see how you are doing hands on coding

1 final interview with the COO or the CEO

To explain to you our company’s vision and ambitions to the next couple of years, and make sure you are up for the position