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4+ 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, data bricks, 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 modelling processes.
Proven ability to solve complex data problems, collaborate effectively with cross-functional teams, and deliver high-quality solutions.
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