About
Long Term Responsibilities and requirements: 8+ years of hands-on experience in data engineering, including data lake infrastructure, data warehousing, and data analytics tools. Cloud data engineering experience on Azure. Deep understanding of Azure services like Data Factory, Databricks, and machine learning. Azure certification is a plus. Strong proficiency in SQL, Python, and PySpark. Proven ability to optimize SQL queries and performance tune data pipelines. Experience in building and operating highly available, distributed data pipelines for large-scale data ingestion, processing, and extraction. Experience integrating multi-cloud services with on-premises technologies. Strong understanding of data modeling processes. Proven ability to solve complex data problems, collaborate effectively with cross-functional teams, and deliver high-quality solutions. Nice to have skill set includes Power BI.
Seniority level
Mid-Senior level Employment type
Contract Job function
Information Technology Industries: IT Services and IT Consulting
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Languages
- English
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