Key skills
Amazon RedshiftApacheAWSETLNoSQLScalaSparkELTData EngineeringRedshiftApache SparkS3GlueAthena
About this role
Role Overview
- Develop and maintain scalable, resilient data pipelines.
- Work with large volumes of structured and unstructured data.
- Ensure data quality, consistency, and governance.
- Collaborate with software engineers, analysts, and data scientists.
- Contribute to technical decisions related to data architecture and tooling.
Requirements
- Experience in data engineering within distributed environments.
- Proficiency with Apache Spark and Scala.
- Experience with AWS (Glue, S3, EMR, Athena, Redshift).
- Knowledge of data modeling, ETL/ELT, and building data pipelines.
- Familiarity with relational databases and NoSQL stores.
- Experience with batch and streaming data processing.
Tech Stack
- Amazon Redshift
- Apache
- AWS
- ETL
- NoSQL
- Scala
- Spark
Benefits
- Multi-benefits card – choose how and where to use it.
- Educational scholarships for undergraduate, postgraduate, MBA, and language courses.
- Certification incentive programs.
- Flexible working hours.
- Competitive salaries.
- Annual performance review with a structured career plan.
- Opportunity for international career growth.
- Wellhub and TotalPass.
- Private pension plan.
- Childcare assistance.
- Health insurance.
- Dental insurance.
- Life insurance.