Job Description

Sr. Data Engineer

This role is responsible for providing technical expertise and leadership to design and deliver end-to-end data engineering solutions to support advanced analytics capabilities and drive innovation and decision-making across our enterprise.

Responsibilities:

• Build and maintain real-time and batch data pipelines across the advanced analytics platform.
• Design, develop and orchestrate highly robust and scalable ETL pipelines.
• Design and implement Dimensional and NoSQL data modeling as per the business requirements.
• Develop highly optimal codebase and perform Spark optimizations for Big Data use cases.
• Design, develop and deploy optimal monitoring and testing strategy for the data products.
• Collaborate with stakeholders and advanced analytics business partners to understand business needs and translate requirements into scalable data engineering solutions.
• Collaborate with data scientists to prepare data for model development and production.
• Collaborate with data visualization and reporting application developers to ensure the sustainability of production applications and reports.
• Collaborate with data architects on the enhancement of our enterprise data architecture and platforms.
• Provide leadership to third-party contractors.
• Comply with health and safety guidelines and rules.
• Maintain professional and technical knowledge by attending educational workshops, professional publications, establishing personal networks, and participating in professional societies.

Requirements:

• 4+ years of experience in Data Engineering
• 2+ years of experience with Advanced Analytics or Data Science
• Proficient in Spark
• Experience with Azure

Nice to have:

• Experience with IoT Data Architecture.
• Machine Learning Operationalization (MLOps) proficiency.
• Proficiency with streaming design patterns

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