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Backend Data Engineer
India's best Short Video App
Backend Data Engineer
India's best Short Video App's logo

Backend Data Engineer

at India's best Short Video App

Agency job
4 - 12 yrs
₹25L - ₹50L / yr
Bengaluru (Bangalore)
Skills
Data engineering
Big Data
Spark
Apache Kafka
Apache Hive
Data engineer
skill iconElastic Search
skill iconMongoDB
skill iconPython
Apache Storm
Druid Database
Apache HBase
Cassandra
DynamoDB
Memcached
Proxies
HDFS
Pig
Scribe
Apache ZooKeeper
Agile/Scrum
Roadmaps
DevOps
Software Testing (QA)
Data Warehouse (DWH)
flink
aws kinesis
presto
airflow
caches
data pipeline
What Makes You a Great Fit for The Role?

You’re awesome at and will be responsible for
 
Extensive programming experience with cross-platform development of one of the following Java/SpringBoot, Javascript/Node.js, Express.js or Python
3-4 years of experience in big data analytics technologies like Storm, Spark/Spark streaming, Flink, AWS Kinesis, Kafka streaming, Hive, Druid, Presto, Elasticsearch, Airflow, etc.
3-4 years of experience in building high performance RPC services using different high performance paradigms: multi-threading, multi-processing, asynchronous programming (nonblocking IO), reactive programming,
3-4 years of experience working high throughput low latency databases and cache layers like MongoDB, Hbase, Cassandra, DynamoDB,, Elasticache ( Redis + Memcache )
Experience with designing and building high scale app backends and micro-services leveraging cloud native services on AWS like proxies, caches, CDNs, messaging systems, Serverless compute(e.g. lambda), monitoring and telemetry.
Strong understanding of distributed systems fundamentals around scalability, elasticity, availability, fault-tolerance.
Experience in analysing and improving the efficiency, scalability, and stability of distributed systems and backend micro services.
5-7 years of strong design/development experience in building massively large scale, high throughput low latency distributed internet systems and products.
Good experience in working with Hadoop and Big Data technologies like HDFS, Pig, Hive, Storm, HBase, Scribe, Zookeeper and NoSQL systems etc.
Agile methodologies, Sprint management, Roadmap, Mentoring, Documenting, Software architecture.
Liaison with Product Management, DevOps, QA, Client and other teams
 
Your Experience Across The Years in the Roles You’ve Played
 
Have total or more 5 - 7 years of experience with 2-3 years in a startup.
Have B.Tech or M.Tech or equivalent academic qualification from premier institute.
Experience in Product companies working on Internet-scale applications is preferred
Thoroughly aware of cloud computing infrastructure on AWS leveraging cloud native service and infrastructure services to design solutions.
Follow Cloud Native Computing Foundation leveraging mature open source projects including understanding of containerisation/Kubernetes.
 
You are passionate about learning or growing your expertise in some or all of the following
Data Pipelines
Data Warehousing
Statistics
Metrics Development
 
We Value Engineers Who Are
 
Customer-focused: We believe that doing what’s right for the creator is ultimately what will drive our business forward.
Obsessed with Quality: Your Production code just works & scales linearly
Team players. You believe that more can be achieved together. You listen to feedback and also provide supportive feedback to help others grow/improve.
Pragmatic: We do things quickly to learn what our creators desire. You know when it’s appropriate to take shortcuts that don’t sacrifice quality or maintainability.
Owners: Engineers at Chingari know how to positively impact the business.
Read more
Users love Cutshort
Read about what our users have to say about finding their next opportunity on Cutshort.
Shubham Vishwakarma's profile image

Shubham Vishwakarma

Full Stack Developer - Averlon
I had an amazing experience. It was a delight getting interviewed via Cutshort. The entire end to end process was amazing. I would like to mention Reshika, she was just amazing wrt guiding me through the process. Thank you team.
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