Data Engineer

• Overall, 7-10 years of development experience with advanced SQL skills with the ability to develop efficient queries of varying complexity.
• Minimum 3-5 years of data engineering experienced in SQL database development and end-to-end ETL processes.
• Experience working with SSIS and other data transformation tools.
• Expertise to Implementing Data Warehousing Solutions.
• Developing Modern Data Warehouse solutions using Azure Stack (Azure Data Lake, Azure Data Factory, Azure Databricks).
• Excellent Understanding of Modern Data Warehouse/Lambda Architecture, Data warehousing concepts.
• Proficient in a source code control system such as GIT; Strong T-SQL scripting and data modelling skills.
• Coding Spark Scala or Python is desirable.
• Strong relational and dimensional Data Modelling skills is desirable.

Personal Attributes

• Effective verbal and written communication skills, needed to communicate with global teams/stakeholders.
• Practical and simple problem-solving approach.
• Effective Team player with collaborative skills, learning and proactive attitude.
• Quality orientation with attention to detail.
• Commitment to continuous improvement.
• Excellent planning and organizational skills.
• Collaborate and share knowledge with other members of the team to ensure we are always evolving our collective skills and staying on the cutting-edge.
• Effectively communicate complex technical concepts to non-echnical stakeholders and collaborate closely to understand evolving business requirements..