Senior Data Engineer

• Design and develop scalable Big Data applications on distributed platforms to support large-scale data processing and analytics needs
• Partner with others in solving complex problems by taking a broad perspective to identify innovative solutions
• Build positive relationships across Product and Engineering
• Influence and communicate effectively, both verbally and written, with team members and business stakeholders
• Quickly pick up new programming languages, technologies, and frameworks
• Collaborate effectively in a high-speed, results-driven work environment to meet project deadlines and business goals
• Utilize Data Warehousing tools such as SQL databases, Presto, and Snowflake for efficient data storage, querying, and analysis
• Demonstrate experience in learning new technologies and skills.

• 5+ years of experience in developing scalable Big Data applications or solutions on distributed platforms
• 4+ years of experience working with distributed technology tools, including Spark, Python, Scala
• Working knowledge of Data warehousing, Data modelling, Governance and Data Architecture
• Proficient in working on Amazon Web Services(AWS) mainly S3, Managed Airflow, EMR/ EC2, IAM etc.
• Experience working in Agile and Scrum development process
• 3+ years of experience in Amazon Web Services (AWS) mainly S3, Managed Airflow, EMR/ EC2, IAM etc.
• Experience architecting data product in Streaming, Serverless and Microservices Architecture and platform
• 3+ years of experience working with Data platforms, including EMR, Airflow, Databricks (Data Engineering & Delta)
• Experience with creating/configuring Jenkins pipeline for smooth CI/CD process for Managed Spark jobs, build Docker images, etc.
• Working knowledge of Reporting & Analytical tools such as Tableau, Quicksite etc.

Kloud9 provides a robust compensation package and a forward-looking opportunity for growth in emerging fields.