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Senior Data Engineer, Data Ingestion
2 months ago
SiriusXM is a leading audio entertainment company in North America, delivering music, sports, talk, news, comedy, and podcasts to millions of listeners. Our vision is to shape the future of audio, where everyone can be effortlessly connected to the voices, stories, and music they love.
Job SummaryWe are seeking a highly skilled Data Engineer to join our team, responsible for designing and developing a data ecosystem to promote data democratization and utilization across SiriusXM and Pandora. As a Data Engineer, you will work closely with our Director of Data Engineering to build cloud-based data pipeline frameworks and operations, implement data governance, and develop monitoring dashboards for stakeholders.
Key Responsibilities- Design and develop cloud-based data pipeline frameworks and operations to power business intelligence
- Implement data governance through proper structure, access controls, and safeguards
- Develop monitoring dashboards for stakeholders to better understand the health, performance, and cost of the platform
- Write documentation to encourage adoption of platform tools and support users in their use
- 5+ years' experience developing data ETL pipelines and data tools in Scala and/or Python
- BS/MS or above in Computer Science or relevant experience
- Experience with data warehouse technologies: MapReduce, HDFS, Hive, Tez, Spark, Sqoop
- Experience with streaming technologies - Kafka, Kafka Connect, KStreams, KSQL, Beam, Flink, Spark
- Experience developing SQL applications of significant complexity
- Experience with cloud computing - Google Cloud Platform, Amazon Web Services
- Experience developing for Linux-based deployment platforms, developing scalable, multithreaded server-side software for deployment
- Experience developing service-oriented architectures / orchestration
- Experience with API design/development - RPC, REST, JSON
- Experience with unit and integration testing frameworks
- Experience with CI/CD, build and deployment technologies such as Jenkins
- Experience with Data Visualization or Data Notebook tools (i.e Zeppelin, Tableau, etc.)
- Experience working in a Cloud Environment (AWS, GCP, etc.)
- Experience developing and deploying machine learning algorithms
- Experience developing with additional languages - R, Scala
- Experience with workflow tools - Airflow/Composer/Luigi
- Experience with data serialization system - Avro, Protobuf
We offer a competitive salary range of $128,000 to $170,000, depending on your skills, qualifications, and experience. Additionally, this role might be eligible for discretionary short-term and long-term incentives. We are an equal opportunity employer that does not discriminate on the basis of actual or perceived race, creed, color, religion, national origin, ancestry, alienage or citizenship status, age, disability or handicap, sex, gender identity, marital status, familial status, veteran status, sexual orientation or any other characteristic protected by applicable federal, state or local laws.
