Location: Remote
Job Requirements10+ years of experience in Data Engineering, with strong expertise in cloud-based data platforms
Extensive experience with the Azure Data Platform , including Azure Databricks
Expert-level proficiency in PySpark for large-scale, distributed data processing
Strong hands-on experience with Apache Airflow for workflow orchestration, scheduling, and monitoring
Advanced SQL skills with a proven ability to optimize complex queries and data pipelines
Deep experience designing, building, and optimizing scalable ETL/ELT pipelines
Strong working experience with Snowflake , including architecture design, performance tuning, and cost optimization
In-depth understanding of data modeling , data warehousing concepts, and industry best practices
Proven experience working with structured and semi-structured data at scale
Experience implementing CI/CD pipelines and using version control tools such as Git
Strong problem-solving, analytical, and troubleshooting skills
Ability to work independently in a remote environment while leading technical initiatives
Excellent communication skills to collaborate with stakeholders and cross-functional teams
Experience with Azure Data Factory and other Azure data integration services
Strong knowledge of cloud security , data governance , and compliance best practices
Experience working in Agile/Scrum environments
Prior experience mentoring junior engineers or leading data engineering teams
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