Description
We are seeking a highly experienced Azure Senior Data Engineer to join our team. The ideal candidate will have a strong background in data engineering and architecture, as well as experience working with Microsoft Azure cloud technologies.
Responsibilities
- Design, build and maintain data pipelines and ETL processes using Azure Data Factory, Databricks, and other related technologies
- Develop and maintain data models and data warehouses using Azure Synapse Analytics and other related technologies
- Collaborate with data scientists, business analysts, and other stakeholders to identify and address business needs and requirements
- Perform data profiling, data quality assessments, and data cleansing activities to ensure high data quality and integrity
- Develop and maintain data integration and data transformation processes using SQL, Python, and other related technologies
- Monitor and troubleshoot data pipelines, data models, and data warehouses to ensure data accuracy and completeness
- Stay up-to-date with emerging data engineering technologies and industry trends, and provide recommendations for process improvements and efficiencies
Skills and Qualifications
Bachelor's or Master's degree in Computer Science, Information Systems, or related field7-12 years of experience in data engineering and architecture, with a focus on Microsoft Azure cloud technologiesStrong experience with Azure Data Factory, Azure Synapse Analytics, and DatabricksExpertise in SQL, Python, and other related technologies for data integration and transformationExperience with data modeling and data warehousingExperience with data profiling, data quality assessment, and data cleansingStrong analytical and problem-solving skillsExcellent communication and collaboration skillsAbility to work independently and in a team environmentImmediate Joiner onlySkills Required
data engineering , Data Modelling, Power Bi, Adf, Databricks, Cosmos DB, Azure, Sql, Python, Etl