Collaborate with cross-functional teams to design, develop, and implement data solutions and applications that align with business needs

Build and maintain scalable data pipelines for efficient data collection, processing, and storage

Perform data modeling and transformation to facilitate data analysis and reporting

Implement best practices for data quality, security, and compliance

Contribute to the enhancement of data engineering processes through continuous improvement and adoption of CI/CD practices

Collaborate within an Agile environment, participating in sprint planning, daily stand-ups, and other Agile ceremonies

A minimum of 3 years of relevant experience in Data Engineering or a similar role, demonstrating your proficiency in developing and optimizing data solutions

Proficiency in Python, leveraging its capabilities to construct robust and scalable data pipelines

Strong familiarity with AWS, using its resources for efficient data processing and storage

Expertise in Databricks, contributing to efficient data processing and analysis

Proficiency in either Apache Spark or Hive, enabling you to work with large-scale data processing and analysis

Knowledge of CI/CD practices, promoting efficient and reliable software development processes

Proficiency in SQL, enabling you to query and manipulate data effectively

Experience with Terraform, enhancing your ability to manage and automate infrastructure

Strong understanding of Agile methodologies, enabling you to work collaboratively within dynamic teams

Fluent English communication skills at a B2+ level, facilitating effective collaboration and communication

Familiarity with containerization and orchestration tools such as Docker and Kubernetes

Knowledge of streaming data processing technologies like Apache Kafka or Apache Flink

Experience with data warehousing solutions like Amazon Redshift or Snowflake

Understanding of machine learning concepts and their integration into data engineering pipelines