Mastering Data Architecture
3 days ago
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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