Data Engineer

Qualifications

·         8+ years of professional data engineering experience, with proven technical leadership.

·         Deep understanding of Azure tech stack (Databricks, ADF, Key Vault, ASQL, ADLS Gen2, Service Principles etc.)

·         Deep experience with Databricks.

·         Hands-on experience with ETL tools such as Azure Data Factory.

·         Experience working with API calls and Ingesting data from external source systems

·         Experience with SQL, Python and PySpark

·         Experience with building dynamic and scalable solutions for data ingestion and curation

·         Experience in data engineering and MS SQL Server and T-SQL development.

·         Strong understanding of data lake/delta lake architectures and modern data pipelines.

·         Strong understanding of medallion architectures and design patterns.

·         Strong understanding of data modeling techniques.

Experience handling large-scale data volumes, Big data tools and Iac