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 field
- 7-12 years of experience in data engineering and architecture, with a focus on Microsoft Azure cloud technologies
- Strong experience with Azure Data Factory, Azure Synapse Analytics, and Databricks
- Expertise in SQL, Python, and other related technologies for data integration and transformation
- Experience with data modeling and data warehousing
- Experience with data profiling, data quality assessment, and data cleansing
- Strong analytical and problem-solving skills
- Excellent communication and collaboration skills
- Ability to work independently and in a team environment
- Immediate Joiner only
Skills Required
data engineering , Data Modelling, Power Bi, Adf, Databricks, Cosmos DB, Azure, Sql, Python, Etl