The role involves building and maintaining systems to collect, store, process, and analyze data ensuring accuracy, accessibility, and security
Job Summary
The role involves building and maintaining systems to collect, store, process, and analyze data ensuring accuracy, accessibility, and security.
Candidates must have hands-on experience developing cloud solutions on AWS using Glue, Lambda, S3, Redshift, Snowflake, and Databricks.
This position requires collaboration with data scientists to build and deploy machine learning models while adhering to strict data governance principles.
Matching Summary
The role involves building and maintaining systems to collect, store, process, and analyze data ensuring accuracy, accessibility, and security.
Skills & Requirements
Must-have
AWS data platform experience
Python and PySpark programming
Apache Kafka and Spark Streaming
Data modeling and architecture concepts
DevOps pipelines with Jenkins or GitLab
Batch and real-time data ingestion
Nice-to-have
Financial services industry background
Broadridge BPS, IMPACT & Gloss knowledge
Machine learning model creation skills
Agile methodology proficiency
Data governance tools like Alation
Strategic thinking and business acumen
Key Requirements
Hands-on experience with large scale data platforms
Strong understanding of distributed computing paradigms
Sound knowledge of data governance principles
Experience in financial settlements functions preferred