Business Technology Solutions Associate_ Cloud Data Engineer @ ZS

What youll do:

• Collaborate with ZS internal teams and client teams to shape and implement high quality technology solutions that address critical business problems

• Understand and analyze business problems thoroughly, and translate them into technical designs effectively

• Design and implement technical features using best practices for the specific technology stack being used

• Assist in the development phase of implementing technology solutions for client engagements, ensuring effective problem-solving

• Apply appropriate development methodologies (e.g., agile, waterfall, system integrated testing, mid-development client reviews, embedded QA procedures, unit testing) to ensure successful and timely completion of projects

• Provide guidance and support to team members in creating comprehensive project implementation plans

• Work closely with a development team to accurately interpret and implement business requirements

What youll bring:

• Bachelor's or Master's degree in Business Analytics, Computer Science, MIS or related field with academic excellence

• Proficiency in RDBMS concepts, SQL, and programming languages such as Python

• Strong analytical and problem-solving skills to convert intricate business requirements into technology solutions

• Knowledge of algorithms and data structures

Additional Skills:

• 0-3+ years of relevant professional experience in delivering small/medium-scale technology solutions

• Strong verbal and written communication skills to effectively convey results and issues to internal and client teams Familiarity with Big Data Concepts and Cloud Platforms like AWS, Azure, and Google Cloud Platform

• Understanding of productivity tools such as co-pilot and SQL generation

• Travel to other offices as required to collaborate with clients or internal project teams

How youll grow:

• Cross-functional skills development & custom learning pathways
• Milestone training programs aligned to career progression opportunities
• Internal mobility paths that empower growth via s-curves, individual contribution and role expansions