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