Senior Data Engineer - Data Analytics Platform

Tasks

• You will develop processes designed to ensure data security and data quality

Your profile

• Bachelor’s or Master’s degree in Computer Science, Data Analytics, Information Systems, or a related technical field; or equivalent education and professional experience • 5+ years of experience in ETL/ELT, data warehousing, business intelligence, and integrating data processing/workflow management tools into pipeline design • 5+ years of experience building and maintaining end-to-end data systems using Python, Scala, or similar programming languages • Solid experience using SQL for data analysis, investigating data issues, diagnosing root causes, and designing effective solutions • Experience working with cloud-based data technologies, preferably on Microsoft Azure, in continuous integration and delivery (CI/CD) environments • Proven experience working with large datasets using Databricks, PySpark, Spark Streaming, and Delta Lake • Hands-on experience with structured, semi-structured, and unstructured data across various storage systems, including relational databases (RDBMS), data warehouses, in-memory caches, and document databases • Familiarity with cloud-based storage solutions such as Azure Data Lake and Blob Storage • Solid understanding of data modeling principles (experience with Data Vault is a plus) and strong skills in system design, implementation, and testing • Experience with event-driven architectures (e.g., Kafka, Event Hubs, Apache Flink) and containerized environments

We offer

No information available