Data Engineer (Python / Snowflake / Kafka)

Data Engineer (Python / Snowflake / Kafka)Key ResponsibilitiesDesign and build scalable data pipelines and data-processing solutions from the ground up.Develop and maintain both batch ETL and real-time streaming pipelines.Build data-processing solutions using Python and PySpark.Work extensively with Snowflake and Kafka.Participate in data architecture, design and technology decisions.Develop solutions that can scale as additional data sources and use cases are introduced.Partner with technical leads and cross-functional teams to define requirements and recommend solutions.Establish engineering standards, processes and best practices for a growing data environment.Support downstream data consumption, reporting and visualization needs.Troubleshoot data pipeline, performance and integration issues.Core QualificationsSenior-level Data Engineering experience with strong hands-on development skills.Strong Python and PySpark development experience.Strong Snowflake experience.Strong Kafka / real-time streaming experience.Experience designing and developing ETL/data pipelines.Experience with both batch and streaming data processing.Strong SQL and data modeling fundamentals.Experience helping design or build a data platform or major data environment from the ground up.Ability to independently evaluate requirements, recommend solutions and drive technical work with minimal oversight.Experience designing data solutions with scalability, reliability and performance in mind.Additional / Preferred ExperienceExperience with any of the following is beneficial:DynamoDBOracleGrafanaCloud-based data platformsHigh-volume consumer or digital data environmentsData visualization and downstream analytics solutionsTechnical leadership or lead-level engineering responsibilities