Data Engineer
world’s fastest growing consumer internet company
Data Engineer
at world’s fastest growing consumer internet company
Agency job
5 - 8 yrs
₹20L - ₹35L / yr (ESOP available)
Bengaluru (Bangalore)
Skills
Big Data
Data engineering
Big Data Engineering
Data Engineer
ETL
Spark
Apache Kafka
PythonHadoop
Apache Spark
Data Engineer JD:
- Designing, developing, constructing, installing, testing and maintaining the complete data management & processing systems.
- Building highly scalable, robust, fault-tolerant, & secure user data platform adhering to data protection laws.
- Taking care of the complete ETL (Extract, Transform & Load) process.
- Ensuring architecture is planned in such a way that it meets all the business requirements.
- Exploring new ways of using existing data, to provide more insights out of it.
- Proposing ways to improve data quality, reliability & efficiency of the whole system.
- Creating data models to reduce system complexity and hence increase efficiency & reduce cost.
- Introducing new data management tools & technologies into the existing system to make it more efficient.
- Setting up monitoring and alarming on data pipeline jobs to detect failures and anomalies
What do we expect from you?
- BS/MS in Computer Science or equivalent experience
- 5 years of recent experience in Big Data Engineering.
- Good experience in working with Hadoop and Big Data technologies like HDFS, Pig, Hive, Zookeeper, Storm, Spark, Airflow and NoSQL systems
- Excellent programming and debugging skills in Java or Python.
- Apache spark, python, hands on experience in deploying ML models
- Has worked on streaming and realtime pipelines
- Experience with Apache Kafka or has worked with any of Spark Streaming, Flume or Storm
Focus Area:
|
R1 |
Data structure & Algorithms |
|
R2 |
Problem solving + Coding |
|
R3 |
Design (LLD) |
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