Artificial Intelligence & Engineering
AI & Engineering leverages cutting-edge engineering capabilities to help build, deploy, and operate integrated/verticalized sector solutions in software, data, AI, network, and hybrid cloud infrastructure. These solutions insights are powered by engineering for business advantage, helping transforming mission-critical operations.
Join our AI & Engineering team to help in transforming technology platforms, driving innovation, and helping help make a significant impact on our clients' success achievements. You’ll work alongside talented professionals reimagining and re-engineering operations and processes that are could be critical to businesses.
Position Summary
Level: Consultant
As an experienced Consultant at Deloitte Consulting, you will be responsible for individually delivering high quality work products within due timelines. Need-basis you will be mentoring and/or directing junior team members/liaising with onsite/offshore teams to understand the functional requirements.
Work you’ll do:
Apply industry knowledge to requirements gathering and analysis, ensuring alignment with sector needs. Demonstrate expertise across the entire software development lifecycle, from design and coding to deployment and defect resolution, collaborating with stakeholders for effective delivery. Conduct peer and team reviews to maintain quality standards. Actively engage in Agile practices, including sprint planning, retrospectives, and effort estimation. Build and share business process knowledge, supporting project knowledge management and team training. Proactively recommend process improvements, track efficiency gains, and contribute to automation and innovation, all aimed at enhancing project outcomes and delivering greater value to clients.
The team:
AI & Data offers a full spectrum of solutions for designing, developing, and operating cutting-edge Data and AI platforms, products, insights, and services. Our offering helps clients innovate, and enhance their data, AI, and analytics capabilities, ensuring they can mature and scale effectively.
AI & Data professionals will work with our clients to:
- Design and modernize large-scale data and analytics platforms including data management, governance and the integration of structured and unstructured data to generate insights leveraging cloud, edge and AI/ML technologies, platforms and methodologies for storage, processing
- Leverage automation, cognitive and AI based solutions to manage data, predict scenarios and prescribe actions
- Drive operational efficiency by managing and upgrading their data ecosystems and application platforms, utilizing analytics expertise and providing As-a-Service models to ensure continuous insights and enhancements.
Qualifications
Must Have Skills/Project Experience/Certifications:
- 3 - 6 years of hands-on experience in Looker +Tableau.
- 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.
Good to Have Skills/Project Experience/Certifications:
- 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.
Education:
BE/B.Tech/M.C.A./M.Sc (CS) degree or equivalent from accredited university
Location:
Bengaluru/Hyderabad/Pune/Chennai/Kolkata
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