Mastering Data Architecture

3 days ago


Bengaluru, Karnataka, India Razorpay Full time

Company Overview:

Razorpay is a fintech company that requires an expert in data architecture to build and optimize our data systems.

The Role:

We are seeking a highly skilled Senior Data Platform Engineer to join our team. As a key member of our engineering team, you will be responsible for expanding and optimizing our data and data pipeline architecture.

Key Responsibilities:

  • Create and maintain optimal data pipeline architecture
  • Design and implement events/streaming based architecture
  • Identify and implement internal process improvements: automate manual processes, optimize data delivery, redesign infrastructure for greater scalability
  • Build the infrastructure required for optimal extraction, transformation, and loading of data from various sources using SQL and AWS big data technologies
  • Create data tools for analytics and data scientist team members to assist them in building and optimizing our product into an innovative industry leader
  • Work with data scientists to enhance functionality in our data systems

Mandatory Qualifications:

  • 4+ years of experience in a Data Engineer role
  • 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.
  • Experience with object-oriented/object function scripting languages: Java, Scala, etc.
  • Experience building and optimizing big data data pipelines, architectures, and data sets
  • 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
  • Experience supporting and working with cross-functional teams in a dynamic environment
  • Familiarity with GitHub and open-source projects
  • Experience working at a product company
  • Proficiency in a backend programming language


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