Take your career to the next level with Amaris Consulting as a Senior Data Engineer. Be part of an international team, thrive in a global group with a €800M turnover and over 1,000 clients worldwide, and an agile environment. The ideal candidate will work with modern cloud and big data technologies to support advanced analytics and machine learning integration. Your role will be key in ensuring high data quality, governance, and performance to drive business impact.
✍️WHAT WOULD YOU NEED? ✍️
* +6 years of experience.
* Languages:
Advanced Python and SQL;
working experience withJava or Scala.
* Cloud Platforms:
Proficiency with AWS or Azure (e.G., S3, Lambda, Redshift, ADF, Synapse).
* Big Data Technologies:
Hands-on with Spark, Hadoop, Kafka.
* ETL/Workflow Tools:
Experience with Apache Airflow, Talend, or similar.
* Databases:
Strong experience with relational, NoSQL, and data warehouse systems (e.G., Snowflake, BigQuery).
* Machine Learning Integration:
Experience embedding ML models using frameworks like TensorFlow, Scikit-learn, or PyTorch.
* DevOps:
Knowledge of containerization (Docker, Kubernetes) and CI/CD tools (e.G., Jenkins, GitLab CI).
* Visualization:
Proficient in Power BI or Tableau for dashboarding and reporting.
* Data Governance:
Understanding of security, compliance (e.G., GDPR), and best practices in data handling.