Cloud Data Engineer

Skills Mandatory Skills: Cloud (AWS/GCP or Azure), Database (RDBMS, No-SQL/Mongo), PL/SQL, Python/R programming fundamentals, Apache Spark Preferred Skills: Snowflake, Data Bricks, Kafka, Docker, Kubernetes, Tableau Preference for those with at least introductory certification to AWS or Azure or GCP Experience in configuring Spark cluster Experience bringing prototypes to production on NoSQL platforms Good knowledge of Spark with Python Hands-on experience in the Linux environment with strong coding skills and fundamentals in data structures. This opportunity offers strong exposure to Machine Learning and Deep Learning Qualification: BE/BTech in any stream. BSc/MSc in Math/Stats/IT/BBA. Preferred basic cloud certification (AWS/Azure or GCP). PG Diploma Data Science. Any other branch with proven technology certifications. Experience: 1-3 years of relevant experience. Responsibilities: Develop and maintenance of big data and streaming data architecture and infrastructure Implement ways to improve data reliability and setup data governance Work with teams helping them move existing projects into big data cloud platforms Work with teams to implement solutions on these platforms Working with teams to help troubleshoot problems related to the tools Work with architects and provide inputs and feedback on big data technologies to be used Setup and maintain one of many Cloud data foundation in AWS/GCP/Azure/DataBricks depending on project requirements Handling big-data pipelines