Senior Data Engineer

July 28

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ResilientCo

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Equipping you to manage tomorrow’s challenges, today.

Strategy Development • Emergency Management • Resilience Building • Community Resilience • Sustainability

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Description

• Collaborate with different teams across the organization to define our data strategy. • Work with Product and Engineering to develop the data models that power our customer insights and A/B testing systems. • Design, develop, and maintain robust and scalable data pipelines to ingest, process, and store large volumes of data from many sources. • Perform data modeling to structure and organize data for efficient analysis and business intelligence. • Conduct data analysis to identify trends, patterns, and insights that inform business strategies. • Optimize database performance and ensure the reliability, availability, and security of data platforms. • Implement best practices for data governance, data quality, and data integration across the organization. • Develop and maintain ETL processes to ensure timely and accurate data delivery. • Troubleshoot and resolve data-related issues, ensuring data accuracy and consistency. • Potentially engage in data science tasks, including developing and deploying machine learning models to enhance our platform’s capabilities. • Stay current with emerging technologies and industry trends to continually improve data engineering practices.

Requirements

• Expert knowledge of SQL and data modeling techniques. • Experience with big data technologies such as AWS Kinesis, Amazon Redshift, GCP Dataflow, Apache Beam, and/or BigQuery. • Experience with orchestration tools such as Apache Airflow, Dagster • Proficiency in programming languages such as Python. • Strong understanding of data lake and warehousing concepts and technologies. • Experience with cloud platforms like AWS, Google Cloud, or Azure. • Excellent communication and collaboration skills. • Proven track record of designing and implementing scalable data solutions. • Experience with data analysis and data science tasks is a plus. • Preferred: Certifications in AWS, Google Cloud, or relevant big data technologies.