Data Engineer

world’s fastest growing consumer internet company

Data Engineer

Hunt & Badge Consulting Pvt Ltd

Company

Home

Data Engineer

at world’s fastest growing consumer internet company

Agency job

via Hunt & Badge Consulting Pvt Ltd

5 - 8 yrs

₹20L - ₹35L / yr (ESOP available)

Bengaluru (Bangalore)

Skills

Big Data

Data engineering

Big Data Engineering

Data Engineer

ETL

Spark

Apache Kafka

Python

Hadoop

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)

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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