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: Analyst
As an experienced Analyst at Deloitte Consulting, you will be responsible for individually delivering high quality work products within due timelines.
Work you’ll do:
Leverage proficiency in technologies beyond core skills to enhance project outcomes. Proactively identify and communicate issues or risks to team leads, and complete assigned technology learning on schedule. Quickly adapt to project-specific tools and gain understanding of client business processes or industry fundamentals. Support process improvements, automation, and innovation while maintaining up-to-date project documentation. Contribute to tracking delivery metrics and lead knowledge-sharing sessions on processes and technology trends. Participate in team building, defect management, and compliance activities. Demonstrate ownership of deliverables and actively engage in ideation and development of tools, accelerators, and innovative solutions.
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:
- 2-3 years of proficient experience with AWS ETLs, Glue, EMR, S3 & Athena
- Expert in languages e.g., Python, Pyspark
- Advanced knowledge of database management systems SQL
- Excellent problem-solving and analytical skills.
- Strong communication and collaboration skills to work with cross-functional teams.
- Experience with version control practices and CICD Process (Git, Bamboo, etc.)
- 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.
- Data Governance: Participate in data governance initiatives by establishing data quality rules, data lineage, and data ownership guidelines. Monitor and enforce data governance policies.
- 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.
- Data Security: Implement data security measures to protect sensitive and confidential data. Define access controls and data encryption strategies as needed.
- Data Analysis Support: Support data analysts and data scientists by providing well-structured data models that facilitate data analysis and reporting.
- Data Migration: Assist in data migration projects by ensuring that data models are consistent between source and target systems. Verify data integrity during migration.
- Professionals should possess a clear understanding of current data models
- Should be able to clearly articulate end-to-end data pipelines with analysis and accomplishment.
- Implementing data pipelines and ETL processes within AWS
- Must possess the ability to construct data pipelines utilizing Glue and allocate cloud resources.
- Should be capable of conducting data analysis, executing data quality checks, and rectifying data quality problems in collaboration with business stakeholders or Product Owners
- Required to adhere to leading practices to design pipelines in line with industry standards
- Will be collaborating with key stakeholders to address critical issues as they arise.
Good to Have Skills/Project Experience/Certifications:
- Understanding of Financial Services Industry- IMRE
Education:
- BE/B.Tech/M.C.A./M.Sc (CS) degree or equivalent from accredited university
Location:
- Bengaluru/Hyderabad/Pune/Chennai/Kolkata
Our purpose
Our people and culture
Professional development
Benefits to help you thrive
At Deloitte, we know that great people make a great organization. Our comprehensive rewards program helps us deliver a distinctly Deloitte experience that helps that empowers our professionals to thrive mentally, physically, and financially—and live their purpose. To support our professionals and their loved ones, we offer a broad range of benefits. Eligibility requirements may be based on role, tenure, type of employment and/ or other criteria. Learn more about what working at Deloitte can mean for you.
Recruiting tips