Senior Data Engineer @ AVENGA

Minimum 5 years of professional experience as a Data Scientist, Machine Learning Engineer, or in a similar role. Proven experience working with the Databricks platform. Hands-on experience with MLflow for building experiments and deploying models to production. Strong understanding and experience with recommender system algorithms and their deployment....

What we are looking for: Strong experience designing and maintaining robust, scalable data pipelines and architectures, with a solid grasp of data modeling and engineering best practices. Proficiency in SQL and hands-on experience preferable with BigQuery Practical knowledge of Python and/or Java, and familiarity with data processing frameworks such...

Must-Have Technologies Experience with cloud data warehouse technologies, including Snowflake and AWS S3. Solid SQL skills; experience migrating legacy environments to cloud platforms. Familiarity with ETL frameworks and tools (preferably SSIS, dbt). Proficiency in Python for data pipeline development and automation. Strong documentation and communication...

Java – Senior level (familiarity with Java 21 is a plus). Spring Boot 3 – Senior level. JPA/Spring Data/SQL – Senior level. MQ + JMS, System Integrations – Senior level. Experience in: Angular 15+, RxJs, JavaScript (ES6), JSON, HTML5, CSS3, Tailwind, PrimeNG. Kafka – Mid level. Synchronous and asynchronous communication in Java between components...

What are we looking for? At least 5 years of proven experience in data engineering roles A strong Data Engineering background in a data warehouse or data lake architecture Experience working in AWS/GCP cloud infrastructure. Experience developing and supporting robust, automated, and reliable data pipelines in Python and SQL. Mastered Python and SQL skills....

5+ years of hands-on experience in implementing, developing, or maintaining data systems in commercial environments. Solid understanding of data modeling and data architecture principles. Strong Python skills, with a focus on writing clean, maintainable code and applying solid object-oriented design principles. Advanced SQL expertise, including performance...

5+ years of hands-on experience in implementing, developing, or maintaining data systems in commercial environments. Solid understanding of data modeling and data architecture principles. Strong Python skills, with a focus on writing clean, maintainable code and applying solid object-oriented design principles. Advanced SQL expertise, including performance...

What we expect in general Hands-on experience with Python Proven experience with data warehouse solutions (e.g., BigQuery, Redshift, Snowflake) Experience with Databricks or data lakehouse platforms Strong background in data modelling, data catalogue concepts, data formats, and data pipelines/ETL design, implementation and maintenance Ability to thrive in an...

What you’ll need to succeed in this role: At least 5 years of commercial experience implementing, developing, or maintaining Big Data systems. Strong programming skills in Python: writing a clean code, OOP design. Strong SQL skills, including performance tuning, query optimization, and experience with data warehousing solutions. Experience in...

What you’ll need to succeed in this role: At least 5 years of commercial experience implementing, developing, or maintaining Big Data systems, data governance and data management processes. Strong programming skills in Python (or Java/Scala): writing a clean code, OOP design. Hands-on with Big Data technologies like Spark, Cloudera, Data Platform,...