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Tech Stack
Tools & technologiesAirflowAmazon RedshiftAWSAzureBigQueryCloudETLGoogle Cloud PlatformJavaKafkaMySQLPostgresPythonScalaSparkSQL
About the role
Key responsibilities & impact- Conceive, develop and industrialize reliable and high-performance data pipelines
- Integrate structured and unstructured data, both in batch and real-time
- Deploy and optimize data environments on the Cloud (AWS, Azure, GCP)
- Implement and orchestrate ETL/ELT processes (Talend, Airflow, dbt, Fivetran, etc.)
- Work on modern environments such as Databricks, Snowflake, BigQuery, Redshift
- Ensure data quality, security and governance
- Contribute to technology watch and recommend the best solutions for each project
Requirements
What you’ll need- You master: Languages: Python and SQL (Scala or Java are a plus)
- Frameworks & tools: Spark, Kafka, Databricks, dbt, Airflow
- Cloud: AWS, Azure or GCP
- Databases: relational (PostgreSQL, MySQL) and cloud data warehouses (Snowflake, BigQuery, Redshift)
- ETL/ELT: Talend, Fivetran, or equivalents
- Bonus: experience in Machine Learning, real-time processing or data mesh is a real asset.
Benefits
Comp & perks- A team of passionate experts: Dive into an environment where innovation and excellence are at the heart of every project.
- Large-scale projects: With Keyrus, you will participate in digital transformation and data management assignments for large companies, high-impact projects!
- A unique work environment: We value innovation, diversity, and international mobility.
- An inclusive company culture: Diversity is our strength and we firmly believe everyone has a role to play in innovation and transformation.
- Our commitments to inclusion: All our positions are open to people with disabilities.
ATS Keywords
✓ Tailor your resumeApplicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard Skills & Tools
PythonSQLScalaJavaSparkKafkaETLELTMachine Learningreal-time processing
