Job Description

About the job

Accelerate your career with PradeepIT

PradeepIT is one of the largest, globally recognized IT Consulting firm to connect Indias deeply vetted talent team to global customer

Were headquartered in Bengaluru, Silicon Valley of India. PradeepITs customers include SAP Lab, Bosch, Rolls-Royce, Daikin, Daimler and J&J and hundreds of other Fortune 500 companies and fast-growing startups.

With continuous hard work and working remotely by choice, PradeepIT is certified as a Great Place to Work! Trusted by leading brands and fortune 500 companies from around the world, we have achieved:

• 6+ Years of Experience
• 580+ Open source technology Consultant
• 120+ SAP Consultant
• 40+ Salesforce Consultant
• 60+ Adobe Consultant
• 100+ Mobility Consultant
• 890+ Clients in APAC, EMEA & USA

Our Beliefs

PradeepIT believes in connecting people across the globe and provide them an opportunity work on remotely. Being a people-first organization, PradeepIT constantly strives for individuals who won't just keep up, but break new ground, work with cutting edge technology and ramp-up their skills with course created by our Vertical Heads, Senior Architect for freely with help of PradeepIT Academy.

About the job

PradeepIT Title

• Senior Consultant

Other Comparable Titles

• Lead developer/ Senior Software Engineer

Responsibilities
Leading backend engineering effort to modernize a web application

• Building or migrating backend data platform and services from the existing legacy systems to low latency systems on AWS
• Designing and implementing data pipelines that rely on processing and serving very large datasets with an awareness of scalability
• Building systems to extract, transform and ingest large-scale, mission-critical, testing data across multiple test platforms
  
  

Requirements
5+ years of experience in Java Development

• 1+ year of leadership experience
• SW development experience in designing, implementing and supporting highly scalable data systems and services
• Proven object-oriented fundamentals and design patterns experience
• Experience with SQL and/or NOSQL low latency systems
• Knowledgeable about distributed storage and network resources, at the level of hosts and clusters to prevent or mitigate performance issues
• Experience in building and running large-scale data pipelines, including distributed messaging such as Kafka, data ingest to/from multiple sources to feed batch and near-realtime/streaming
• Experience with diverse frameworks and services such as Elastic Search, S3, Kubernetes, Docker, Kafka and Spark within AWS Able to communicate clearly and collaborate with cross-functional teams
• Excellent problem solving and root cause analysis skills
• Able to lead with consensus and conviction