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Job Summary
Job Description
Core Responsibilities
- Create and maintain an optimal data pipeline architecture focussed upon network data, including real-time and batch data sources.
- Assemble large, complex data sets that meet functional and non-functional business requirements.
- Build batch/streaming ELT/ETL solutions from a wide variety of data sources in varying formats (SQL, JSON, AVRO, HTTP, API, etc.) using the right blend of tools.
- Keep our data compliant, relevant and secured across multiple data centres and regions.
- Identify, design, and implement internal process improvements: automating manual processes, optimising data delivery and evolving current solutions whilst ensuring continuity of service.
- Create data tools for data scientist team members that assist them in building and optimizing into an innovative industry leader.
- Guide and collaborate with data consumers on analytics, tooling and platform related queries.
What you’ll bring
Graduate degree BSc in Computer Science, Electrical Engineering or similar. Strong communications skills. SQL knowledge and experience working with relational databases. Strong analytic skills related to working with structured and unstructured datasets. Build processes supporting data transformation, data structures, metadata, dependency and workload management. A successful history of manipulating, processing and extracting value from large, disconnected datasets. Hands-on experience in building scalable data platforms. Awareness of security practices and privacy concerns when working with data across both in-house and cloud platforms. Ideally an awareness of network technologies and concepts or an insatiable desire to learn. Key technologies
Apache Airflow / NiFi / Kafka / ZooKeeper
Confluent ecosystem (Connect / Schema Registry / ksqlDB)
GCP (BigQuery, Dataflow, Pub/Sub, IAM)
Linux / Terraform / Ansible
Python / Docker (Nice to have)
Disclaimer:
- This information has been designed to indicate the general nature and level of work performed by employees in this role. It is not designed to contain or be interpreted as a comprehensive inventory of all duties, responsibilities and qualifications.
Comcast is proud to be an equal opportunity workplace. We will consider all qualified applicants for employment without regard to race, color, religion, age, sex, sexual orientation, gender identity, national origin, disability, veteran status, genetic information, or any other basis protected by applicable law.
Education
Bachelor's Degree
While possessing the stated degree is preferred, Comcast also may consider applicants who hold some combination of coursework and experience, or who have extensive related professional experience.
Relevant Work Experience
7-10 Years
Base pay is one part of the Total Rewards that Comcast provides to compensate and recognize employees for their work. Most sales positions are eligible for a Commission under the terms of an applicable plan, while most non-sales positions are eligible for a Bonus. Additionally, Comcast provides best-in-class Benefits. We believe that benefits should connect you to the support you need when it matters most, and should help you care for those who matter most. That’s why we provide an array of options, expert guidance and always-on tools, that are personalized to meet the needs of your reality – to help support you physically, financially and emotionally through the big milestones and in your everyday life. Please visit the compensation and benefits summary on our careers site for more details.
