84.51° is looking to hire a Senior Data Engineer to help build and maintain scalable, efficient, and secure data engineering practices, specifically focusing on creating an application that specializes in campaign management within Azure.
Requirements
- 3+ years of professional Data Development experience.
- 3+ years of experience with SQL and NoSQL technologies.
- 2+ years of experience building and maintaining data pipelines and workflows.
- 2+ years of experience developing with Python & Pyspark.
- Experience developing within databricks.
- Experience with CI/CD pipelines and processes.
- Experience with automated unit, integration, and performance testing.
Responsibilities
- Design, build, and maintain scalable, efficient, and reliable data pipelines to support data ingestion, transformation, and integration across diverse sources and destinations, using tools such as Kafka, Databricks, and similar toolsets.
- Leverage innovative technologies and approaches to modernize and extend core data assets, including SQL-based, NoSQL-based, cloud-based, and real-time streaming data platforms.
- Design and implement automated unit, integration, and performance testing frameworks to ensure data quality, reliability, and compliance with organizational standards.
- Optimize data workflows for performance, cost efficiency, and scalability across large datasets and complex environments.
- Mentor team members in data principles, patterns, processes, and practices to promote best practices and improve team capabilities.
- Draft and review architectural diagrams, interface specifications, and other design documents to ensure clear communication of data solutions and technical requirements.
- Provide technical leadership to ensure clarity between ongoing projects and facilitate collaboration across teams to solve complex data engineering challenges.
Other
- Proven experience in leading cross-functional teams and managing complex projects from inception to completion
- Full understanding of ETL and Data Warehousing concepts.
- Strong understanding of Agile principles (Scrum).
- Knowledge of Structured Streaming (Spark, Kafka, EventHub, or similar technologies).
- Experience with GitHub SaaS/GitHub Actions.
