Job Description

Develop and maintain data pipelines including solutions for data collection, management, and usage. Develop and implement solutions for data quality validation and continuous improvement. Manage, execute and monitor weekly and monthly production operations; resolve and escalate production issues as appropriate. Partner with data scientists, PMs, engineers and business stakeholders globally to plan and execute projects, and communicate status, risks and issues. Perform root cause analysis of system and data issues and develop solutions as required. Proven design and problem-solving skills, with an emphasis on quality and data engineering excellence. Proven communication skills, both verbal and written. The ability to work well in a diverse, global, team-focused environment. Bachelor's Degree in Computer Science or related technical field AND 2+ years technical engineering experience with coding in languages including, but not limited to, C, C++, C#, Java, JavaScript, or Python OR equivalent experience. Experience with Azure Analytics stack, e.g., Azure Data Lake, Azure Databricks, Azure Data Factory, Azure Synapse, Azure logic apps. Proficient in Power BI and Machine Learning experience. Proven track record of collaborative development in an agile team environment. Experience with infrastructure automation technologies like Docker and Kubernetes Experience in SQL, data warehousing and database architecture. Experience working with cloud-based technologies, including relational databases, data warehouse, big data (e.g., Hadoop, Spark), orchestration/data pipeline tools, data lakes. 4+ years of professional software development experience. Experience building APIs and services using REST. Overall understanding of Azure/Cloud infrastructure.

Skills Required