AI & Data
In this age of disruption, organizations need to navigate the future with confidence, embracing decision making with clear, data-driven choices that deliver enterprise value in a dynamic business environment.
The AI & Data team leverages the power of data, analytics, robotics, science and cognitive technologies to uncover hidden relationships from vast troves of data, generate insights, and inform decision-making. The offering portfolio helps clients transform their business by architecting organizational intelligence programs and differentiated strategies to win in their chosen markets.
AI & Data will work with our clients to:
- Implement large-scale data ecosystems including data management, governance and the integration of structured and unstructured data to generate insights leveraging cloud-based platforms
- Leverage automation, cognitive and science-based techniques to manage data, predict scenarios and prescribe actions
- Drive operational efficiency by maintaining their data ecosystems, sourcing analytics expertise and providing As-a-Service offerings for continuous insights and improvements
Experience:
- 3-6 years of hands-on experience in designing and developing conceptual, logical, and physical data models for relational, dimensional, and NoSQL data platforms.
- Knowledge of Data Vault, NoSQL, Dimensional Modeling, Graph data model, and proficiency in at least one of these.
- Proven experience with data warehousing, data lakes, and enterprise big data platforms.
- Knowledge of databases such as columnar databases, vector databases, graph databases, etc.
- Strong knowledge of metadata management, data modeling, and related tools (e.g., Erwin, ER/Studio).
- Experience with ETL tools and data ingestion protocols.
- Familiarity with cloud-based data warehousing solutions (e.g., Google BigQuery, AWS Redshift, Snowflake) and big data technologies (e.g., Hadoop, Spark).
- Experience in creating comprehensive documentation of data models, data dictionaries, and metadata.
Preferred:
- Experience with cloud modernization projects and modern database technologies.
- Certification in data modeling or database design.
- Strong communication and presentation skills.
- Experience in creating data models that comply with data governance policies and regulatory requirements.
- Experience leading initiatives to modernize data platforms using cloud-based solutions such as Google BigQuery, AWS Redshift, Snowflake, etc.