Posted By
Dominique Frances Hoover
Business Operations Manager at Scribble Data Private Limited
Last Login: 01 October 2020
222
JOB VIEWS
58
APPLICATIONS
53
RECRUITER ACTIONS
Posted in
IT & Systems
Job Code
839024
Your Mission:
- Develop high performant, scalable data processing systems for dealing with internet-scale data.
- Develop and deploy robust, distributed, scalable, realtime, data processing infrastructure that can support various downstream applications including reporting, analytics, user intelligence, machine learning, and decision support.
- Develop and document detailed plans for data products to conform to allocated resources and define quantifiable outcomes for the near-term, interim and future state.
- Hire, mentor, retain and grow a team of world-class data engineers and help them advance in their learning and career goals.
- Communicate clearly about engineering capabilities and limitations, and collaborating productively with customers, vendors, and business stakeholders.
Your Strengths:
- Proven record of building and managing teams of 5+ data engineers, remote or otherwise.
- 10+ years of industry experience owning and building data infrastructure including packaging, deploying and monitoring data systems.
- Having built and shipped a product at a startup will be a plus.
- Masters degree or higher in Computer Science.
- Strong system-level thinking and problem-solving skills with the ability to make architecture decisions as well as deep dive on code at the line level.
- Python implementation experience, with experience in another language like Java.
- Proficiency in designing, implementing and automating systems for data workflow management.
- Experience designing robust, scalable data architectures.
- Proficiency in developing and publishing APIs using web services.
- Proficiency in using distributed storage (e.g. S3), serverless architecture (e.g. Lambda), streaming data (e.g. Kafka), scalable search (e.g. Elasticsearch).
- Proficiency with containerization (e.g. Docker/Kubernetes), and other deployment tooling.
- Proficiency with big data technologies like map-reduce, NoSQL, Spark, HBase, Hive.
- Experience with data security protocols, data access controls, AWS/GCP/Azure security mechanisms at the data and access levels, database security, scripting attacks, API security.
- A record of published patents and/or technical publications in peer-reviewed conferences and journals will be an added bonus.
- Strong communication and collaboration skills to work with stakeholders from different backgrounds.
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Posted By
Dominique Frances Hoover
Business Operations Manager at Scribble Data Private Limited
Last Login: 01 October 2020
222
JOB VIEWS
58
APPLICATIONS
53
RECRUITER ACTIONS
Posted in
IT & Systems
Job Code
839024