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 DBT Developer
- Hands-on experience with DBT (Data Build Tool) in a production environment.
- Hands-on experience with advanced DBT concepts like macros, materializations, snapshots, configurations etc.
- Experience with relational databases (e.g., Snowflake, BigQuery, Redshift, PostgreSQL).
- Proficiency in SQL for data manipulation, querying, and transformation is essential.
- Familiarity with data warehousing concepts and ETL/ELT processes.
- Familiarity with data modeling concepts (star/snowflake schema, normalization)
- Experience with version control systems (e.g., Git).
- Strong problem-solving skills and attention to detail.
- Excellent communication and collaboration abilities.
- Develop, build and test data transformation pipelines using DBT.
- Implement and manage end-to-end data pipelines, ensuring data quality, reliability, and scalability.
- Collaborate with data engineers, analysts, and business stakeholders to understand data requirements and deliver scalable solutions.
- Implement and enforce best practices for data modeling, version control, and documentation within DBT projects.
- Optimize SQL queries and DBT models for performance and reliability.
- Monitor, troubleshoot, and resolve issues in data pipelines and transformations.
- Ensure data quality through testing, validation, and documentation.
- Participate in code reviews and contribute to continuous improvement of data engineering processes.
Good to Have Skills/Project Experience/Certifications:
- Experience with cloud data platforms (e.g., AWS, GCP, Azure).
- Knowledge of data orchestration tools (e.g., Airflow, Prefect, Stonebranch).
- Familiarity with CI/CD pipelines for data projects.
Education:
- BE/B.Tech/M.C.A./M.Sc (CS) degree or equivalent from accredited university
Location:
- Bengaluru/Hyderabad/Pune/Chennai/Kolkata