Cloud Data Engineer

Responsibilities
• Undertake complete ownership in accomplishing activities and assigned responsibilities across all phases of project lifecycle to solve business problems across one or more client engagements;
• Apply appropriate development methodologies (e.g.: agile, waterfall) and best practices (e.g.: mid-development client reviews, embedded QA procedures, unit testing) to ensure successful and timely completion of assignments;
• Collaborate with other team members to leverage expertise and ensure seamless transitions;
• Exhibit flexibility in undertaking new and challenging problems and demonstrate excellent task management;
• Assist in creating project outputs such as business case development, solution vision and design, user requirements, prototypes, and technical architecture (if needed), test cases, and operations management;

• Bring transparency in driving assigned tasks to completion and report accurate status;
  • Bring Consulting mindset in problem solving, innovation by leveraging technical and business knowledge/ expertise and collaborate across other teams;
  • Assist senior team members, delivery leads in project management responsibilities:
• Build complex solutions using Programing languages, Big data service platform, etc.

Qualification & Experience
• Bachelor's degree with specialization in Computer Science, IT or other computer related disciplines with record of academic success;
• Up to 2 years of relevant consulting industry experience working on small/medium-scale technology solution delivery engagements:

• Good understanding of Big data fundamentals - Hive, Spark, Hadoop, MapReduce;
• Strong in at least one of the Programming languages - Python, Java, Scala, etc. and Programming basics - Data Structures;
• Knowledge in Snowflake platform, Snowpark and SnowSQL
• Good understanding of RDBMS and NoSQL and concepts;
• Exposure / Fundamental hands on experience on Cloud Platforms - AWS, Azure, GCP.

Additional Skills

• Strong verbal and written communication skills with ability to articulate results and issues to internal and client teams;
  • Proven ability to work creatively and analytically in a problem-solving environment;
  • Ability to work within a virtual global team environment and contribute to the overall timely delivery of multiple projects;
  • Willingness to travel to other global offices as needed to work with client or other internal project teams.
• Ability to leverage Gen AI to enhance productivity and proven experience using it is a plus