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
Data Analyst
Passionate and results-driven Data Engineer with a proven track record of designing and implementing robust data solutions on Google Cloud Platform (GCP). Specializing in GCP BigQuery, Looker, SQL
Responsibilities:
- Write and optimize SQL queries to extract, transform, and load (ETL) data from various sources.
- Analyze complex datasets to derive actionable insights for business stakeholders.
- Proficient in working with Google Cloud Platform, particularly BigQuery.
- Design, implement, and optimize data pipelines using GCP services.
- Develop and maintain LookML models in Looker for creating interactive and dynamic dashboards.
- Collaborate with business users to understand reporting requirements and translate them into Looker visualizations.
- Configure and manage data virtualization using AtScale to provide a unified view of data across multiple sources.
- Ensure data consistency and performance in virtualized environments.
- Implement and enforce data governance policies to ensure data quality, security, and compliance.
- Work closely with cross-functional teams to establish best practices for data management.
- Identify and implement optimizations in SQL queries and data processing pipelines for improved performance.
- Troubleshoot and resolve performance-related issues.
- Document data models, ETL processes, and data definitions.
- Provide training and support to end-users on data tools and platforms.
- Information Systems, or a related field with 3-6 years of experience in Data Engineering domain.
- Proven experience with SQL and database management systems.
- Hands-on experience with Google Cloud Platform, specifically BigQuery.
- Proficiency in Looker for data visualization and reporting.
- Familiarity with AtScale for data virtualization.
- Strong analytical and problem-solving skills.
- Excellent communication and collaboration skills.
- Ability to work independently and as part of a team.
- Knowledge of data governance principles and best practices.
- Good to have Certification in GCP, Looker, or AtScale.
- Familiarity with Tableau tool
- Familiarity with scripting languages (e.g., Python).
- Knowledge of data warehousing concepts and best practices.