Data Science Specialist

1 week ago

Dombivli, Maharashtra, India beBeeDataEngineer Full time ₹ 15,60,000 - ₹ 24,41,800

Job Role: Data Engineer

We are looking for an experienced Data Engineer to join our team.

As a Data Engineer, you will be responsible for designing and implementing optimal data pipeline architecture, creating events/streaming based architecture/design, identifying, designing, and implementing internal process improvements.

You will build the infrastructure required for optimal extraction, transformation, and loading of data from a wide variety of data sources using SQL and AWS 'big data' technologies.

Key Responsibilities:
  • Create and maintain optimal data pipeline architecture
  • Create and maintain events/streaming based architecture/design
  • Identify, design, and implement internal process improvements
  • Build the infrastructure required for optimal extraction, transformation, and loading of data from a wide variety of data sources

Requirements:

  • Proficiency in either Scalar or Python, expertise in Spark, and experience with performance tuning and optimization
  • DBT is also mandatory
  • Experience with big data tools: HDFS/S3, Spark/Flink,Hive,Hbase, Kafka/Kinesis, etc.
  • Experience with relational SQL and NoSQL databases, including Elasticsearch and Cassandra/Mongodb
  • Experience with data pipeline and workflow management tools: Azkaban, Luigi, Airflow, etc.
  • Experience with AWS/GCP cloud services
  • Experience with stream-processing systems: Spark-Streaming/Flink etc.
  • Programming Language (Mandatory): Candidate should be really good in either Scala OR Python (not necessarily both)

Benefits:

  • Strong analytic skills related to working with structured/unstructured datasets
  • Build processes supporting data transformation, data structures, dimensional modeling, metadata, dependency, schema registration/evolution and workload management
  • Working knowledge of message queuing, stream processing, and highly scalable 'big data' data stores

What We Offer:

  • Have a few weekend side projects up on GitHub
  • Have contributed to an open-source project
  • Have worked at a product company
  • Have a working knowledge of a backend programming language

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