Senior Data Engineer

Role Overview

• Develop and improve the current data architecture, emphasizing data security, data quality and timeliness, scalability, and extensibility
• Develop and implement complex and efficient data pipelines/solutions to transform raw data sources into powerful, reliable components of our data platform and business insights
• Deploy and use various data and big data technologies and run pilots to design low latency data architectures at scale
• Implement and simplify self-service data query and analysis capabilities of the data platform
• Establish and maintain standards and guidelines for design and development, tuning, deployment, and maintenance of information and advanced data analytics
• Meet with subject matter experts in different areas of the business, be able to quickly learn the concepts and business language relevant to their line of business and develop an understanding of how their data supports their business processes
• Actively mentor and lead knowledge sharing sessions, code, and design reviews
• Build conceptual and logical data models for stakeholders and management
• Actively lead knowledge sharing sessions, code, and design reviews
• Support the data platform infrastructure and implement solutions to ensure continuous improvement in platform stability
• Collaborate with business analysts, data scientists, product owners, software development engineers, and other teams to develop, implement, and validate KPIs, statistical analyses, data profiling, prediction, forecasting, clustering, and machine learning algorithms.

Requirements

• Bachelor’s degree (BS/BA) from four-year college or university in Information Computer Science or related field, and eight+ years’ related experience and/or training; or equivalent combination of education and experience
• 10+ years in Data Engineering or related field
• 5+ years working in a cloud computing environment, Azure preferred
• Extensive experience in building scalable data platforms in a cloud data platform, Snowflake preferred
• Extensive experience gathering data from multiple heterogeneous data sources, including databases, various file formats, and REST and SOAP APIs
• Hands-on experience with Azure technologies, such as SQL and NoSQL databases, Azure DevOps, Azure Data Factory, Databricks, and Azure Analytics Services desired
• Strong experience with Data Visualization Tools (Power BI preferred)
• Strong experience in an Agile Scrum environment, with work estimation and providing input to managers on resource and risk planning.

Tech Stack

• Azure
• Cloud
• NoSQL
• SOAP
• SQL

Benefits

• For more information on our industry-leading benefits, please visit our benefits page here.