Key skills
Data modelingETL/data pipelineGoogle Cloud PlatformBig Data TechnologiesSQLPythonData VisualizationAWSData governanceProblem SolvingCollaborationCommunicationJavaScalaETLAnalyticsLookerBIBigQuerySparkApache SparkKafkadbtGCPGoogle CloudCloud StorageLeadership
About this role
Calix is leading a service provider transformation to deliver a differentiated subscriber experience around the Smart Home and Business. The Staff Data Engineer will play a significant role in architecture design, implementation, and technical leadership in data ingestion, extraction, transformation, and analytics.
Responsibilities:
- Work closely with Cloud product owners to understand, analyze product requirements and provide feedback
- Develop conceptual, logical, physical models and meta data solutions
- Design and manage an array of data design deliverables including data models, data diagrams, data flows and corresponding data dictionary documentations
- Determine database structural requirements by analyzing client operations, applications, and data from existing systems
- Technical leadership of software design in meeting requirements of service stability, reliability, scalability, and security
- Guiding technical discussions within engineer group and making technical recommendations
- Design review and code review with peer engineers
- Guiding testing architecture for large scale data ingestion and transformations
- Customer facing engineering role in debugging and resolving field issues
Requirements:
- 10+ years of development experience performing Data modeling, master data management and building ETL/data pipeline implementations
- Proficiency in both Google Cloud Platform (GCP) services (BigQuery, Dataflow, Dataproc, PubSub/Kafka, Cloud Storage) and AWS
- Knowledge of big data processing frameworks such as Apache Spark, Flink
- Strong knowledge of SQL and at least one programming language (Python, Java, or Scala), DBT
- Experience with BI tools such as Google Data Studio, Looker, ThoughtSpot, and using BigQuery BI Engine for optimized reporting
- Strong analytical and troubleshooting skills, particularly in complex data scenarios
- Ability to work effectively in a team environment and engage with cross-functional teams
- Proficient in conveying complex technical concepts to stakeholders
- Knowledge of data governance, security best practices, and compliance regulations in both GCP and AWS environments
- Bachelor's degree in Computer Science, Information Technology or a related field