▪️Proven experience as a Data Engineer or in a similar role, with at least 10 years of hands-on expertise in developing ETL pipelines and implementing medallion architecture.

▪️Over 10 years of experience working with banking data, demonstrating deep domain knowledge.

▪️Strong proficiency in data mapping and data profiling—these are essential requirements.

▪️ Hands-on experience with Python and SQL for data processing and analysis.

▪️Successfully delivered end-to-end data warehouse/Data Platform deployments, from design to implementation.

▪️Certification in Data lake, Data warehouse Technology Components mainly on Azure.

Technical Skills and Competencies

▪️Proficiency in multiple programming languages such as Python, SQL, Java, or Scala to develop data pipelines and applications.

▪️Extensive experience working with Microsoft Azure cloud services, including data storage, compute, and security components.

▪️Hands-on experience with Data Bricks for bigdata processing, machine learning, and advanced analytics.

▪️In-depth knowledge of data modeling techniques and database design principles.

▪️Familiarity with data integration tools and techniques for ingesting data from various sources.

▪️ Understanding of data warehousing concepts and experience with data warehouse technologies.

▪️ Knowledge of data governance and data quality best practices.