Senior Data Engineer – Data Analytics Platform

YOUR PROFILE

• Bachelor’s or Master’s degree in Computer Science, Data Analytics, Information Systems, or a related technical field, or equivalent training and professional experience
• 5+ years of experience in ETL/ELT, data warehousing, Business Intelligence, streaming, processing/workflow management tools into pipeline design
• 5+ years building and maintaining end-to-end data systems using Python, Spark, SQL and similar programming languages, preferably in Microsoft Azure, with Snowflake, Delta Lake
• Solid experience in utilizing SQL for data analysis, investigating data issues, data modelling, and designing effective solutions
• Experience in working with cloud-based data technologies, preferably on Microsoft Azure with Snowflake, Spark, PySpark, Spark within Azure Data Factory
• Demonstrated experience working with large-scale datasets using DataBricks' Databricks
• Hands-on experience with structured, semi-structured, and unstructured data systems, including relational databases (RDBMS), data warehouses, in-memory databases, and document databases
• Familiarity with cloud storage solutions such as Azure Data Lake and Blob Storage
• Solid understanding of data modelling principles (experience with Data Vault is a plus) and strong