About the Role
Join Deloitte's Artificial Intelligence & Engineering team, a dynamic group focused on building, deploying, and operating integrated sector solutions powered by software, data, AI, and cloud infrastructure. We leverage cutting-edge engineering to deliver business insights and transform mission-critical operations. As an Analyst, you will be instrumental in driving innovation and making a significant impact on client success by reimagining and re-engineering operations and processes.
What You'll Do:
- Deliver high-quality work products within established timelines.
- Enhance project outcomes by applying proficiency in technologies beyond core skills.
- Proactively identify and communicate project issues and risks to team leads.
- Complete assigned technology learning modules promptly.
- Rapidly adapt to project-specific tools and gain a deep understanding of client business processes and industry fundamentals.
- Support process improvements, automation initiatives, and innovation efforts.
- Maintain up-to-date project documentation.
- Contribute to tracking delivery metrics and lead knowledge-sharing sessions on relevant processes and technology trends.
- Participate in team building activities, defect management, and compliance procedures.
- Demonstrate ownership of deliverables and actively contribute to the ideation and development of tools, accelerators, and innovative solutions.
The AI & Data Team:
The AI & Data team offers comprehensive solutions for designing, developing, and operating state-of-the-art Data and AI platforms, products, insights, and services. We empower clients to innovate and enhance their data, AI, and analytics capabilities, ensuring effective maturation and scalability.
AI & Data professionals collaborate with clients to:
- Design and modernize large-scale data and analytics platforms, encompassing data management, governance, and the integration of structured and unstructured data. Leverage cloud, edge, and AI/ML technologies and methodologies for storage and processing to generate insights.
- Utilize automation, cognitive, and AI-based solutions to manage data, predict scenarios, and prescribe actions.
- Drive operational efficiency by managing and upgrading data ecosystems and application platforms. Provide analytics expertise and offer As-a-Service models for continuous insights and enhancements.
Qualifications:
Must-Have Skills/Project Experience/Certifications:
- 2-3 years of hands-on experience with Snowflake system hierarchy.
- Solid understanding of Database Management System (DBMS) concepts, SQL, and PL/SQL.
- Proficiency in Snowflake schemas, tables, views, and stages.
- Strong problem-solving and analytical capabilities.
- Hands-on experience in data validation, writing custom SQL code, and managing Snowflake account users, roles, and privileges.
- Experience integrating ETL tools (e.g., DataStage, Informatica) with Snowflake.
- Experience integrating BI tools (e.g., Tableau, Power BI) with Snowflake.
- Proven ability in performance tuning and troubleshooting issues.
- Familiarity with design documents such as High-Level Design (HLD) and Low-Level Design (LLD).
- Well-versed in data migration and integration concepts.
- Self-starter with the ability to implement solutions based on design documents.
- Experience participating in various testing phases, including Unit Testing, System Testing, and User Acceptance Testing (UAT).
Good-to-Have Skills/Project Experience/Certifications:
- Exposure to Data Modeling concepts.
- Exposure to advanced Snowflake features like Data Sharing, Cloning, Export, and Import.
- Experience participating in client interactions and meetings.
- Experience in code tuning.
Education:
- BE/B.Tech/M.C.A./M.Sc (CS) degree or equivalent from an accredited university.