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 Tableau experience
- Knowledge of database management systems SQL
- Experience in data analysis.
- Hands-on Experience in Python
- Excellent problem-solving and analytical skills.
- Identifies opportunities to use advanced analytics
- Advancedexperience with tools and services , JIRA Collibra,Bitbucket/GITHUB Jupyter Notebooks
- Understanding of Financial Services Industry- IMRE (preferred)
- Very strong experience in Tableau/SQL/Python /AWS understanding
Good to Have Skills/Project Experience/Certifications:
- Proficiency in Tableau for creating data visualizations, designing dashboards, and implementing data connections.
- Data Modeling: Create and maintain conceptual, logical, and physical data models that accurately represent the organization's data assets. These models may include entity-relationship diagrams (ERDs), data flow diagrams, and schema designs.
- Requirements Gathering: Collaborate with business analysts, data analysts, and other stakeholders to understand their data needs and requirements. Translate these requirements into data model specifications.
- Data Standardization: Define and enforce data standards, naming conventions, and data definitions to ensure consistency and clarity across the organization.
- Database Design: Work closely with database administrators (DBAs) to design and optimize database schemas based on the data models. Ensure that databases are efficient, scalable, and well-structured.
- Data Integration: Facilitate the integration of data from various sources into the organization's data environment. Ensure that data is transformed and mapped appropriately to meet business needs.
- Documentation: Maintain comprehensive documentation of data models, data dictionaries, and metadata. Ensure that all changes to data models are properly documented and communicated.
- Performance Optimization: Collaborate with developers and DBAs to optimize database performance. Identify and resolve performance bottlenecks related to data access and storage.
- Continuous Learning: Stay up-to-date with industry trends, emerging technologies, and best practices in data modeling and database design. Apply new knowledge to improve existing processes.
- Develop, manage, execute, and refresh highly complex Tableau dashboards, making them accessible to business stakeholders.
- Should be able to clearly articulate end-to-end data pipelines with analysis and accomplishment.
- Carry out impromptu data analysis using Python, SQL, and basic AWS cloud skills.
- Must possess a fundamental understanding of AWS cloud, Python, and SQL to conduct necessary data analysis
- Expected to collaboratively work with fellow data analysts as a team and handle dashboards that are crucial for business stakeholders
- Must be competent in dealing with uncertainty and capable of devising KPIs and reports that meet industry standards.
Education:
- BE/B.Tech/M.C.A./M.Sc (CS) degree or equivalent from accredited university
Location:
- Bengaluru/Hyderabad/Pune/Chennai/Kolkata