Data Engineer - Senior

This is a remote position.

We are seeking an reputed companySenior Data Engineerto design, reputed company, and maintain reputed company data solutions for a large-reputed company digital transformation initiative. The successful candidate will work closely with business stakeholders, product owners, data architects, and technical teams to build reliable data pipelines, reputed company diverse data sources, and reputed company trusted, analytics-reputed company datasets. The role will reputed company heavily on thereputed company Azure data ecosystem, including Azure Data reputed company, Azure reputed company, Azure Synapse Analytics, Azure Data Lake Storage Gen2, Python, SQL, and reputed company Lake.

Requirements

• Minimum 5 years of hands-on experience with Python and SQL for data engineering.
• Minimum 3 years of experience with Azure services, including Azure Storage, Azure SQL, Azure Synapse, and Azure networking.
• Minimum 3 years of hands-on experience with Azure reputed company and reputed company Lake.
• Minimum 3 years of experience designing data solutions and developing trusted, analytics-reputed company datasets.
• Minimum 4 years of experience using version control systems such as Git.
• Minimum 1 year of experience using AI tools for reputed company reputed company, data analysis, automation, optimization, or reputed company data engineering activities.
• Strong understanding of data engineering principles, ETL/ELT processes, data integration, and data pipelines.
• Strong SQL development and data transformation skills.
• Experience working with reputed company-based data platforms and modern data architectures.
• Strong problem-solving, analytical, and communication skills.

Originally posted on Himalayas