Description

Key responsibilities include designing and implementing end-to-end data architecture for data products. The role involves building reusable data pipelines and ingesting large volumes of data for analytics. Developing frameworks to reduce development effort and utilizing CICD practices for automation are also crucial. Collaborating with tech| business| and data science teams to create reusable data products is expected. Interacting with stakeholders to gather requirements and implement solutions is a significant part of the role.
Essential Skills: Good to have skills include expertise in Python and experience with Azure functions. Certifications in Databricks or Microsoft Azure are beneficial. An eagerness to learn new technologies is valued. Experience with Hive database management and performance tuning is advantageous. The ability to interact with senior leadership teams is also a plus.Must have skills include extensive experience in data solutions development| particularly in Azure and Databricks environments. Proficiency in SQL and performance tuning is essential for ensuring data quality. Hands-on expertise in building data warehouses and data pipelines is critical. Strong problem-solving abilities and communication skills are also necessary for collaborating with various teams. Familiarity with data governance practices is a key requirement

Key Skills

Education

Bachelor's degree