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Kloud 9
5-8 years
Kloud9 - Senior Data Engineer - AWS (5-8 yrs)
Kloud 9
posted 10d ago
Flexible timing
Key skills for the job
Company : Kloud9 (https://www.kloud9.nyc/)
Location : Bangalore
Experience: 5-8 years
Mode : Hybrid (4 days work from office in a week)
Company Overview :
Founded in 2016 and headquartered in New York, Kloud9 is one of the leading technology services and solutions providers specializing in Data Science, Artificial Intelligence (AI) and Machine Learning (ML). At Kloud9, we work closely with our customers across Retail, Consumer Goods, Healthcare & Manufacturing to achieve a satisfying customer experience using modern technologies in AI, ML, Cloud and Automation, that transform Data into action-driven insights.
As a leading provider of cutting-edge cloud solutions, Kloud9 empowers businesses to harness the full potential of cloud technology, enabling them to scale, innovate, and thrive in the digital era. With a strong commitment to excellence and a customer-centric approach, Kloud9 is redefining the way organizations leverage the power of the cloud to drive growth and efficiency.
Through our customer-centric approach and relentless commitment to excellence, we have helped numerous organizations achieve remarkable results in their cloud journey. Our success stories highlight the transformative impact of our cloud solutions, including cost savings, increased productivity, improved scalability, and enhanced business agility. With our strong technology expertise, we understand & visualize a new world with an AI-First Approach. Kloud9 is constantly on the lookout for top-tier talent to join us in this exciting journey!
Responsibilities :
- 4+ years' experience in developing scalable Big Data applications or solutions on distributed platforms.
- Experience architecting data product in Streaming, Serverless and Microservices Architecture and platform.
- Able to partner with others in solving complex problems by taking a broad perspective to identify innovative solutions.
- Strong skills building positive relationships across Product and Engineering.
- Able to influence and communicate effectively, both verbally and written, with team members and business stakeholders
- Able to quickly pick up new programming languages, technologies, and frameworks.
- Experience working in Agile and Scrum development process.
- Experience working in a fast-paced, results-oriented environment.
- Experience in Amazon Web Services (AWS) mainly S3, Managed Airflow, EMR/ EC2, IAM etc.
- Experience working with Data Warehousing tools, including SQL database, Presto, and Snowflake
Functional Areas: Software/Testing/Networking
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