Data Engineer-Data Platforms-Azure

Key Responsibilities - Experienced in building business logic using spark on Databricks platform. - Must be proficient in pyspark/python. - Sound exposure in writing complex SQL queries. - Good understanding of delta tables and data lakes. - Should have good experience working with different components of Azure (ADF, ADLS, AAD, Key Vault). - Should be able to translate business requirements into technical solutions. - Experience in building ETL logic using Azure Datafactory. - Capable of designing optimized solutions & Frameworks. - Prior experience in automotive domain. - Versed in concepts of Data Mesh, Data Products.

Overview - We are looking for a Senior Data Engineer Azure who will play a crucial role in our data engineering team. - The ideal candidate will have a strong background in building business logic and data solutions using modern technologies. - You will be responsible for designing and implementing data pipelines and ETL processes that meet the needs of our clients. - Your expertise in Azure and data engineering best practices will help drive our projects forward. - We value innovation and are looking for someone who can translate complex business requirements into effective technical solutions. - Join us in delivering high-quality data solutions that empower our clients to make informed decisions.

Requirements - Experienced in building business logic using spark on Databricks platform. - Proficient in pyspark/python. - Have sound exposure in writing complex SQL queries. - Possess a good understanding of delta tables and data lakes. - Have good experience working with different components of Azure (ADF, ADLS, AAD, Key Vault). - Can translate business requirements into technical solutions. - Have experience in building ETL logic using Azure Datafactory. - Are capable of designing optimized solutions & Frameworks. - Have prior experience in automotive domain. - Are versed in concepts of Data Mesh, Data Products.