Associate Manager (Research)

Key Responsibilities: Data Engineering & Architecture - Design, build, and operationalize enterprise-scale data solutions using AWS services (Spark, EMR, DynamoDB, RedShift, Kinesis, Lambda, Glue). - Build data pipeline frameworks for high-volume, real-time data ingestion and processing. - Develop and maintain optimal ETL architecture and workflows. - Work with NoSQL databases (DynamoDB, MongoDB) and messaging systems (Kafka, Kinesis). - Implement internal process improvements to automate manual processes, optimize data delivery, and redesign infrastructure for scalability. Analytics & Insights - Build analytics tools to provide actionable insights into customer acquisition, operational efficiency, and key business metrics. - Support data scientists and analytics teams with data infrastructure and tools. - Evangelize high standards of quality, reliability, and performance for data models and algorithms. Cloud & Data Security - Utilize AWS cloud data lake solutions for real-time or near real-time use cases. - Ensure data security across multiple regions and compliance with data separation standards. Collaboration & Stakeholder Support - Work with Executive, Product, Data, and Design teams to resolve data-related technical issues. - Assist teams in leveraging data infrastructure to optimize product performance. - Create prototypes and proof-of-concepts to support iterative development. Skills: Data Modeling, Etl, Data Architecture, data engineering , Aws, Data Pipeline Experience: 0.00-4.00 Years