Job Location: Noida
We are looking at a Data Engineer with at least 3-5 years of experience with technologies and tools like Hadoop, Hive, MapR, Kafka, Spark, etc., Experience in Architecting data ingestion, storage, consumption model. Experience with NoSQL Databases like MongoDB, HBase, Cassandra, etc., Knowledge of various ETL tools & techniques Skills:- Spark, MapReduce, Hadoop, and ETL
Roles and Responsibilities
* Strong programming and distributed systems/processing knowledge.
* Experience building data processing systems at scale.
* Functional programming experience in python or Golang, and SQL
* Experience with Spark, Hadoop, Flink, or other data processing tech.
* Strong understanding of popular database/data warehouse architectures and performance characteristics.
* Understanding of data lake technologies like Parquet, Delta, Hudi, or Hive.
* Experience with data manipulation and visualization tools.
* Exposure implementing supervised and unsupervised machine learning systems at scale.
* Understanding of infrastructure automation like Kubernetes or other CNCF projects.
Desired Candidate Profile
- Bachelors degree in computer science, information technology, engineering or equivalent
- 3 or more years of experience with Python, SQL, and data visualization/exploration tools
- Familiarity with the AWS ecosystem specifically RedShift and RDS
- Communication skills, especially explaining technical concepts to non-technical business leaders
- Comfort working in a dynamic, research-oriented team with concurrent projects
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