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 : AI and Data Solutions Engineer II
As an experienced AI and Data Solutions Engineer II 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.
- Bengaluru/Hyderabad/Pune/Chennai
Qualifications
Must Have Skills/Project Experience/Certifications:
- 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.
- Experience with cloud modernization projects and modern database technologies.
- Certification in data modeling or database design.
- 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.
- BE/B.Tech/M.C.A./M.Sc (CS) degree or equivalent from accredited university