Design, develop and maintain scalable and high-performance data solutions that meet the needs of our clients

Automate data extraction, transformation and provisioning irrespective of the type of source and target

Collaborate with cross-functional teams to conceptualize, design and implement effective data solutions

Ensure data quality and integrity, identifying and troubleshooting data issues promptly

Optimize and fine-tune data processes to ensure enhanced performance and scalability

Develop and maintain technical documentation for data solutions

Stay up-to-date with emerging trends in data software engineering and identify opportunities to improve existing systems

Minimum of 3 years of relevant work experience in a Data Software Engineer role with expertise in AWS and Snowflake

Experience with structured and unstructured data, as well as big data concepts

Advanced knowledge of SQL, including complex data merging techniques such as windowing functions, and Hive concepts, partitioning, and bucketing

Familiarity with big data concepts, HDFS and overall distributed architecture understanding

Work experience with at least one NoSQL database and expertise in Spark, Spark streaming and Performance Tuning in Spark

Experience with Unit Testing and Mocking Framework, as well as advanced Python programming concepts

Fluent English language skills with an Upper-Intermediate level

Good experience in test automation and relative tools and frameworks, like Pytest, Behave, Lettuce, etc

Experience with Kubernetes (high level) and Docker