CES has 26+ years of experience in delivering Software Product Development, Quality Engineering, and Digital Transformation Consulting Services to Global SMEs & Large Enterprises. CES has been delivering services to some of the leading Fortune 500 Companies including Automotive, AgTech, Bio Science, EdTech, FinTech, Manufacturing, Online Retailers, and Investment Banks. These are long-term relationships of more than 10 years and are nurtured by not only our commitment to timely delivery of quality services but also due to our investments and innovations in their technology roadmap. As an organization, we are in an exponential growth phase with a consistent focus on continuous improvement, process-oriented culture, and a true partnership mindset with our customers. We are looking for the right qualified and committed individuals to play an exceptional role as well as to support our accelerated growth. You can learn more about us at: http://www.cesltd.com/
Job Role:
We are looking for an Architect who will perform mission critical duties including data engineering strategy, contributing to and leading the development of the Enterprise Data and Analytics Platforms. A passionate professional who can blend the ever-evolving technology landscape of Cloud and Advanced Analytics with responsibilities to provide input on implementation and administration methodologies to management.
Responsibilities:
Architect and implement data pipelines using ETL processes and frameworks (e.g., Apache Spark, Kafka).
Design and develop custom applications with a focus on micro-services architecture and RESTful APIs.
Collaborate with cross-functional teams to define technical requirements and solution architecture.
Evaluate and integrate data storage solutions (SQL, NoSQL, data lakes) for optimal performance.
Lead code reviews, ensuring adherence to software development best practices and design patterns.
Stay current with emerging technologies and industry trends to inform solution design.
Strong programming skills are mandatory
Technologies - React, Typescript, NodeJS, Python, DatBricks, Delta Lake, Azure Cloud experience, Kafka, Spark, SQL & no-SQL DBs
Ideal Candidate:
- 12+ years of experience implementing data management solutions using below technologies:
- Technologies - React, Typescript, NodeJS, Python, DatBricks, Delta Lake, Azure Cloud experience, Kafka, Spark, SQL & no-SQL DBs
- Architect and implement data pipelines using ETL processes and frameworks (e.g., Apache Spark, Kafka).
- Design and develop custom applications with a focus on micro-services architecture and RESTful APIs.
- Collaborate with cross-functional teams to define technical requirements and solution architecture.
- Evaluate and integrate data storage solutions (SQL, NoSQL, data lakes) for optimal performance.
- Lead code reviews, ensuring adherence to software development best practices and design patterns.
