Azure Data Engineer

Primary focus would be to do development work within the platform on Azure Data Lake environment and other related ETL technologies.

Satisfying project requirements, while adhering to enterprise architecture standards.

• Deliver Enterprise Data Warehouse and Azure Data Lake projects within time and budget
• Contribute to solution design and build to ensure scalability, performance and reuse of data and other components
• Ensure on time and on budget delivery which satisfies project requirements, while adhering to enterprise architecture standards.
• Possess strong problem-solving abilities with a focus on managing to business outcomes through collaboration with multiple internal and external parties
• Enthusiastic, willing, able to learn and continuously develop skills and techniques enjoys change and seeks continuous improvement
• A clear communicator both written and verbal with good presentational skills, fluent and proficient in the English language
• Customer focused and a team player

• Bachelors degree in computer science, MIS, Business Management, or related field
• 5+ years experience in Data Warehouse/Azure Data Lake

Technical Skills:

• Proven experience development activities in Data, BI or Analytics projects
• Solutions Delivery experience - knowledge of system development lifecycle, integration, and sustainability
• Good knowledge in Azure DevOps(ADO)
• Good knowledge of Azure data factory and Databricks
• Strong Knowledge of Pyspark/ Presto / Databricks SQL is desirable
• Knowledge of data warehousing concepts and data catalog tools (Alation)
• Strong knowledge of Teradata architecture and SQL
• Knowledge of FMCG business processes is desirable

Non-Technical Skills:

• Excellent remote collaboration skills
• Experience working in a matrix organization with diverse priorities
• Exceptional written and verbal communication skills along with collaboration and listening skills
• Ability to work with agile delivery methodologies
• Ability to ideate requirements & design iteratively with business partners without formal requirements documentation.