Senior Analyst - Big Data Engineering - IN
Professionals in this group design and implement high-performance, scalable and optimized data solutions for large enterprise wide data mining and processing.

Key Responsibilities and Duties

• They are responsible for design and development of data flows and Big Data Platform deployment and implementation.
• Incumbents usually require expert knowledge in Apache, Hadoop, NoSQL databases, Spark, Hive etc.

Educational Requirements

• University (Degree) Preferred

Work Experience

• No Experience Required

Physical Requirements

• Physical Requirements: Sedentary Work

Career Level
5IC

• Experience in AWS services such as Glue, Amazon S3, EKS, Lambda etc. Experience in publishing applications and leveraging CloudFront, API Gateway
• Experience in developing Data Integration Pipeline using Python, Glue, Amazon Elastic Map Reduce (EMR).  
• Desirable to have worked on following tools: Eventbridge, AppFlow, AirFlow Must have worked in financial service industry with sound knowledge of investment management and its related concepts.
• Sound Data warehousing concepts and Data modelling experience.
• Strong interpersonal, oral, presentation, and written communication skills.

Related Skills

Collaboration, Continuous Improvement Mindset, Data-Driven Business Intelligence, Data Engineering/Analytics, Data Visualization, Predictive Modeling, Problem Solving, Programming, Resourcefulness, Statistics, Story Telling