Backend / Data Engineer
Looking for a Backend / Data Engineer with more than 2+ years of experience in
enterprise application design and architecture, system performance and scalability, as well as
some knowledge of Big Data related technologies and data architecture. As a Backend Data
Engineer, you will be responsible for building and delivering high-quality infrastructure and
support to the technical content company is providing. We strive to maintain an open culture
where everyone is a contributor and feels comfortable sharing ideas and opinions. Our team,
drawn from the best product companies, is obsessive in its detailing and our focus is on
awesome User Interaction.
What shall be expected of you:
● Lead simultaneous development for multiple business verticals.
● Design & develop highly scalable, reliable, secure, and fault-tolerant systems.
● Ensure that exceptional standards are maintained in all aspects of engineering.
● Collaborate with other engineering teams to learn and share best practices.
● Take ownership of technical performance metrics and strive actively to improve them.
● Mentors junior members of the team and contributes to code reviews.
You must definitely have:
● A passion to solve tough engineering/data challenges.
● Be well versed with cloud computing platforms AWS / GCP
● Experience with SQL technologies (MySQL, PostgreSQL)
● Experience working with NoSQL technologies (MongoDB, ElasticSearch)
● Excellent Programming skills in Python/Java/GoLang
Would be awesome if you are also good at:
● Big Data streaming services (Kinesis, Kafka, RabbitMQ)
● Distributed cache systems (Redis, Memcache)
● Advanced data solutions (BigQuery, RedShift, DynamoDB, Cassandra)
● Automated testing frameworks and CI/CD pipelines
● Infrastructure orchestration (Docker/Kubernetes/Nginx)
● Cloud-native tech like Lambda, ASG, CDN, ELB, SNS/SQS, S3, Route53, SES
V 2.1.1