· 12+ Years of Data Engineer.
· 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.