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Staff Data Engineer- C360,
Discovery Channel
posted 1mon ago
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Key skills for the job
Job Description
- Mentor and provide technical guidance to junior data engineers in the team.
- Contributing back to engineering community by writing/publishing blogs, articles, or papers in respected engineering conferences
- Design and develop the data platform to efficiently and cost effectively address various data needs across the business.
- Build software across our entire cutting-edge data platform, including event driven and batch data processing, storage, and serving through various data integration techniques such as APIs, Lambda, File Feeds etc.
- Think of new ways to help make our data platform more scalable, resilient, and reliable and then work across our team to put your ideas into action.
- Help us stay ahead of the curve by working closely with data architects, stream processing specialists, API developers, our DevOps team, and analysts to design systems which can scale elastically .
- Work closely with data analysts and business stake holders to make data easily accessible and understandable to them.
- Ensure data quality by implementing re-usable data quality frameworks.
- Work closely with various other data engineering teams to roll out new capabilities.
- Work closely with AI/ML team to operationalize and utilize models for business needs.
- Develop and enforce data engineering, security, data quality standards through automation.
- Participate in supporting platform 24X7.
- Be passionate about growing a team - hire and mentor engineers and analyst.
- Be responsible for cloud cost and improving efficiency.
What to Bring :
- Bachelor s degree in computer science or similar discipline.
- 8 + years of experience in software engineering
- 8 + years of experience in data engineering.
- Ability to work in fast paced, high pressure, agile environment.
- Expertise in building and managing large volume data processing (both streaming and batch) platform is a must .
- Expertise in OLAP databases such as Snowflake or Redshift.
- Expertise in SQL, Spark SQL, Hive etc.
- Expertise in stream processing systems such as Kafka, Kinesis, Pulsar or Similar
- Expertise in building micro services and managing containerized deployments, preferably using Kubernetes.
- Expertise in distributed data processing frameworks such as Apache Spark, Flink or Similar.
- No-SQL (Apache Cassandra, DynamoDB or similar) is a huge plus.
- Experience with Analytics Tools such as Looker, and Tableau is preferred.
- Cloud (AWS) experience is preferred.
- Ability to learn and teach new languages and frameworks.
- Drive to master emerging technologies and share experiences with team members.
- Ability to understand goals, strategies, and needs of the business as they relate to infrastructure and application development.
- Expert knowledge of best security practices for cloud apps
- Expert with CI/CD pipelines, preferably GitHub Actions Workflows.
- Terraform development experience.
- Proficient with C#, Python/Java.
- Experience working with containerization platforms, such as Docker, EKS.
- Databases/Storage knowledge: Snowflake, PostgreSQL, Elasticsearch.
- Git/GitHub experience
- Go above and beyond attitude w ith s trong interpersonal, communication, organizational, resource management, and presentation skills.
Employment Type: Full Time, Permanent
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