Senior Data Engineer, Algolia

• 8+ years of experience in data engineering
• Expertise with cloud platforms (AWS, GCP, or Azure)
• Expertise with orchestration systems (Airflow, Dagster, or similar)
• Expertise with data lakes and warehouses (Databricks, Snowflake, BigQuery, or Redshift)
• Strong Spark and SQL skills
• Familiarity with infrastructure tools (Terraform, Docker)
• Familiarity with coding best practices (Python, unit testing, CI)
• Awareness and interest in data engineering and modern development
• Motivation to build a state-of-the-art platform
• Motivation to work in a team-oriented culture
• Excellent communication skills
• We’re looking for talented, passionate people to build the world’s best search & discovery technology
• As an ownership-driven company, we seek team members who thrive within an environment based on autonomy and diversity. We're committed to building an inclusive and diverse workplace

Desirable

• Join Algolia’s Data Engineering team. We gather data across all company domains and build and maintain the infrastructure and services that power internal analytics for analysts, data scientists, product managers, and engineers
• We are the internal eyes of the company, a critical, central team for Algolia and its business. We aim to build a state-of-the-art data platform and stay alert to new technologies to keep modernizing
• We have started a transition from Redshift to Databricks to modernize the platform and scale for the future. The foundation is new. There is still a lot to build and many interesting challenges
• Be a key contributor in a mature data engineering team composed of senior engineers
• Design, build, and operate reliable batch and streaming pipelines
• Improve orchestration, testing, observability, and cost efficiency
• Interact with many stakeholders across Product, Engineering, and Analytics
• Take strong ownership of what you build and maintain
• Share your expertise with other technical teams
• Team’s current stack:
• AWS infrastructure
• S3 data lake
• Databricks SQL Warehouse and Workflows
• Airflow (MWAA)
• Kafka for real time
• AWS Glue, EMR, Kinesis
• Redshift and Athena (being replaced by Databricks)

• Please submit your application with an English written CV/Resume to ensure our team can effectively review your application