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Posted by Nadeem Lalani (@nadeemajl)
About Kinetic Technology: We are a fintech startup looking to revolutionize the way credit risk is managed by the Payments Service Providers.
- Lead and work on a large and complex data platforms with a particular focus on high frequency data, real-time analytics and historical data access
- Develops and maintains scalable data pipelines to support continuing increases in data volume and complexity
- Provide for data governance, inventory, acquisition, analysis & cleaning and the construction of derived data sets
- Own and work on components across the data pipeline from capturing, cleaning, monitoring, analyzing and building API's
- Implement systems to monitor data quality, ensuring production data is always accurate and available
- Apply strong analytical and technical skills in analysis, cleaning and modelling large data assets.
- Closely partner with Risk Analyst and data scientist and build platforms to support them
- Be creative and identify technical gaps and improve workflow efficiency, coverage and quality of solutions.
- 4+ years of data engineering experience
- Understanding of data governance and data schema best practices that facilitate backward and forward compatibility
- Demonstrated ability to manage data at terabyte scale
- Knowledge of data partitioning and indexing strategies
- Strong Knowledge in Python or JVM based languages
- Strong experience in SQL and NoSql DBs
- Strong experience in Kafka/kinesis and data frameworks like Spark and Flink
- Strong experience in building data lakes, data warehouses and lake houses
- Strong experience in using query engines like Athena, Redshift etc.
- Strong experience in using a Cloud Platform like AWS, GCP or Azure
- Familiar with automated build, test and deployment pipelines
- Strong experience in maintaining data science models in the cloud
- Strong experience in using orchestration systems like airflow, DBT, LUIGI
- Experience in payments domain and/or merchant data management
Work from anywhere in India
Get your own laptop according to your preference
Save on tax as company is based out of India
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