Data Engineer

· 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 big data 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.