Job Duties:

• Build data-intensive solutions on AWS/GCP/Azure to help customers transition to cloud
• Collaborate with data scientists to design and deploy solutions on cloud
• Design data layout using object storage (S3/Cloud Storage) or databases to enable spark and other processes to access data efficiently
• Keep abreast with latest technologies and apply them to solve big data problems
• Familiarity with containers and their orchestration to manage workloads
• Learn and contribute towards knowledge sharing sessions
• Automate solutions and improve overall productivity and reducing the cost footprint of resources.
• Identify and solve performance and scalability issues
• Understand business problems and propose technical solutions
• Work with a global development team to develop production solutions

Skills:

• Sound understanding of cloud platforms and its service offerings (at least one of AWS/GCP/Azure)
• Strong programming background in either Python and SQL
• Strong understanding of data engineering, data warehousing concepts
• Knowledge of object storage like S3 and designing data layouts for efficient data access
• Familiarity with Spark and big data technologies like Hive, BQ,EMR, DataProc , Dataflow will be given extra consideration.
• Experience with container technology (Docker) is a plus.
• Prior experience with data visualization technologies like SAS VA, Tableau is a plus
• Education: Master’s Degree in Computer Science or Equivalent

Travel

• Travel up to 25% is required