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5 - 8 years
- Design, develop and maintain resilient, secure and scalable data pipelines that handle data collected from 800M+ monthly active users.
- Evaluate new technologies, build prototypes, formulate deployment & scaling plans for improvements in data infrastructure and engineering.
- Ensure that data pipelines are following all the necessary security protocols through periodic reviews.
- Lead the development of data reporting for customers & internal stakeholders.
- Ownership of the data-pipeline quality, instrumentation and logging.
- Mentor and work with the other team members.
- Keep calm and learn everyday.
- 5+ years of experience with Hadoop ecosystem.
- Experience of running data-warehouse technologies like Hive, HBase, Hadoop at scale.
- Experience of using Spark to build data-pipelines.
- Experience in the design and implementation of distributed systems at scale. Must have exposure to distributed systems concepts like leader election, consensus, clocks.
- Deep knowledge of JVM including GC tuning and Posix compliant Operating Systems (we develop on Mac OS X and deploy on GNU/Linux).
- Experience of writing Unit, Functional & Regression tests. Knowledge of generative testing is preferred.
- Excellent verbal and written communication skills.
- Handy with the shell and automation tools.
- Bachelor’s Degree in Computer Science (or equivalent)
Nice to have
- Experience of stream processing frameworks like Flink / Storm.
- Knowledge of BI tools that can be used for internal reporting.
- Knowledge of Functional programming.
- Experience of developing production systems in Clojure.
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