
Senior Big Data Engineer
2 days ago
At our organization, we are building a world-class big data platform to bring value out of data for us and for our customers.
We aim to democratize data, support exploding business, provide reporting and analytics self-service tools, and fuel existing and new business critical initiatives.
Our mission is to build scalable, available, fault-tolerant data processing systems using AWS technologies, Kafka, Spark, and other big data technologies. These systems should handle batch and real-time data processing over 100s of terabytes of data ingested every day and a petabyte-sized data warehouse.
We require an experienced software engineer who can design, develop & maintain growth data pipelines and integrate paid media sources like Facebook and Google to drive insights for business.
Key Responsibilities:
- Architecting/designing/developing critical data pipelines at our organization.
- Productionizing ML models in collaboration with the Data Science and Engineering teams.
- Maintain and support existing platforms and evolve to newer technology stacks and architectures.
Requirements:
- Excellent technical problem solving using data structures and algorithms, with emphasis on optimization and code quality.
- 1+ years of relevant software engineering experience using object oriented programming languages like Scala / Java / Ruby / Python / C++ etc.
- Expertise in architecting and building large-scale data processing systems using Big Data technologies like Spark, Hadoop, EMR, Kafka/ Kinesis, Flink, Druid.
- Expertise in SQL with knowledge on any existing data warehouse technology like Redshift.
This role requires excellent communication skills, ability to work independently, and strong collaboration with cross-functional teams.
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