Job Description

Overview:

Primary focus would be to perform development work within Azure Data Lake environment and other related ETL technologies, with the responsibility of ensuring on time and on budget delivery; Satisfying project requirements, while adhering to enterprise architecture standards. This role will also have L3 responsibilities for ETL processes
Responsibilities:

Delivery of key Azure Data Lake projects within time and budgetContribute 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

Qualifications:

Bachelor's degree in computer science, MIS, Business Management, or related field5+ years' experience in Information Technology 4+ years' experience in Azure Data Lake

Technical SkillsProven experience development activities in Data, BI or Analytics projects Solutions Delivery experience - knowledge of system development lifecycle, integration, and sustainability Strong knowledge of Pyspark and SQL Good knowledge of Azure data factory or Databricks Knowledge of Presto / Denodo is desirable Knowledge of FMCG business processes is desirable

Non-Technical SkillsExcellent 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