CORE BUSINESS OPERATIONS
The Core Business Operations (CBO) portfolio is an integrated set of offerings that addresses our clients’ heart-of-the-business issues. This portfolio combines our functional and technical capabilities to help clients transform, modernize, and run their existing technology platforms across industries. As our clients navigate dynamic and disruptive markets, these solutions are designed to help them drive product and service innovation, improve financial performance, accelerate speed to market, and operate their platforms to innovate continuously.
ROLE
Level: Specilaist Senior
As a Specilaist Senior at Deloitte Consulting, you will be involved in independently leading end-to-end delivery of client engagements and working with strategy, functional and technical teams located across shores. On requirement basis, you will be mentoring junior team members and collaborating to understand client problem statement requirements and translate them into work products.
As a Cloud Strategy practitioner, you will be responsible for working collaboratively within integrated cross functional teams to deliver comprehensive strategies that enable Cloud and Infrastructure Transformations.
The work you will do includes:
• Strategize and enable end-to-end journey from on-premise to cloud or building cloud native businesses
• Own and manage specific work threads of a larger consulting engagement; participate in interviews, workshops, training sessions, and support team and client
• Lead articulation of problem statement, development of storyboard and own deliverables
• Collect and analyze primary / secondary research data, draw conclusions, and support development of strategic insights or scenario specific business cases and models
• Perform Cloud Migration and PMO for large scale transformations and revisit client businesses and operating models to unearth new opportunities
• Lead critical practice initiatives and assist managers in developing proposals
• Technical Expertise in Python / Scala:
• Strong proficiency in Python/Scala programming with extensive experience in designing, developing, and deploying scalable applications and engineering solutions.
• Ability to write clean, maintainable, and reusable code adhering to industry best practices.
• Proficient in architecture patterns such as Layered (N-Tier) ETL, Microservices, Event Driven Serverless, Data Pipeline etc.
• Cloud Computing (AWS/Azure):
• Deep expertise in cloud platforms such as AWS (S3, EMR, Lambda, Glue, Redshift, Athena, Kinesis, DynamoDB, Step Functions, ECS, CloudFormation) or Azure (Data Factory, Databricks, Synapse Analytics, Data Lake, Event Hubs, Blob Storage, Azure Functions).
• Proficiency in leveraging cloud-native services for data storage, ETL pipelines, real-time streaming, and orchestration.
• Big Data and Spark Expertise:
• Experience working with Apache Spark and cloud-native Spark solutions like AWS EMR, Azure Databricks, or Google Dataproc.
• Expertise in optimizing Spark jobs for performance and managing large-scale data processing workflows.
• Orchestration and Workflow Automation:
• Hands-on experience with orchestration tools such as Apache Airflow, AWS Step Functions, Azure Data Factory Pipelines, or Prefect for managing complex data workflows.
• Data Engineering Proficiency:
• In-depth knowledge of data engineering tools and technologies, such as:
• ETL tools: Glue, Azure Data Factory
• Data streaming: Kafka, AWS Kinesis, Azure Event Hubs.
• Data storage and querying: Snowflake, Redshift, BigQuery, Synapse Analytics, Athena, Delta Lake.
• Database systems: PostgreSQL, MySQL, Cassandra, MongoDB.
• Performance Optimization:
• Proven ability to optimize Spark jobs, SQL queries, and ETL workflows.
• Experience in identifying and resolving performance bottlenecks in distributed data systems, cloud-based solutions, and pipelines.
• Code Reviews and Best Practices:
• Expertise in conducting code reviews to ensure adherence to SOLID principles, clean architecture, and industry-standard best practices.
• Ability to mentor and guide junior developers in improving code quality and maintainability.
• System Architecture and Design:
• Strong experience in architecting scalable, cost-effective, and resilient systems using technologies like AWS Glue, Azure Synapse, Lake Formation, and Databricks.
• Proficiency in designing and implementing Data Lakes, Data Warehouses, and real-time data pipelines.
• Collaboration and Communication:
• Excellent communication skills to effectively collaborate with cross-functional teams, including data scientists, DevOps, and stakeholders.
• Ability to lead technical discussions and influence architectural decisions.
• Continuous Learning and Innovation:
• Commitment to staying updated with the latest advancements in Python, cloud computing, and data engineering technologies.
• Experience with emerging tools such as Terraform for infrastructure as code, and Delta Lake for managing data pipelines.
• Capability to evaluate and integrate cutting-edge tools and technologies for continuous improvement.
QUALIFICATIONS
Skills / Project Experience:
Must Have:
• 6 – 10 years of project experience on Cloud Suitability Analysis, Application Rationalization, Business Case preparation, Cloud Operating Model, Cloud Resiliency, Cloud FinOps, Program Management Office, Data Center Consolidation and/or exit
• Knowledge of major Infrastructure-as-a-service (IaaS) providers
• Deep understanding of cloud providers including services, licensing model, technology stack and pricing model
• Experience in client interaction on a regular basis to understand their processes and business problems
• Experience in leading Project Teams with good interpersonal and communication skills
• Ability to perform solid storyboarding and conduct financial model analysis
• Knowledge and experience working with Microsoft Office tools
• 10+ years of industry experience, with at least 6+ years in a technical architect role designing applications and hosting solutions as public/private cloud SaaS PaaS platforms.
• At least 5+ years of hands-on experience in cloud native architecture design, implementation of distributed, fault-tolerant enterprise applications for cloud.
• Experience in application migration and modernization of legacy applications to AWS cloud platforms
• Familiarity of principles summarized in the AWS Cloud Adoption and Well-Architected Frameworks
• Deep expertise of architecting and designing end-to-end AWS solutions architecture, recommending best cloud architecture patterns suiting the business problems, (Integrating services like: Glue, Redshift, EMR, Step Function, Amazon MQ, Lambda, AWS S3 and storage classes, etc.)
• Working experience of designing approach and migrating solution from on-prem using AWS Database Migration, Migration Hub, Application Migration Service, etc.
• Good to have hands-on experience with Kubernetes, EKS or OpenShift container platforms
• Strong understanding of BigData architecture, design and implementation creating cloud architecture leveraging PaaS.
• Strong understanding of the cloud native development practices and architectural patterns.
• Understanding of data services including RDS, DynamoDB, Amazon Keyspace, DocumentDB, ElastiCache, RedShift and when to use each.
• Understanding of the impact of technology on client business processes and plan the risk mitigation steps.
• Experience in leading and managing teams within specialist areas from project planning to execution
• Candidates with AWS Solution architect certifications will be preferred (SAA-C03)
Location:
Bengaluru,Hyderabad, Mumbai
The team
Deloitte Consulting LLP’s Technology Consulting practice is dedicated to helping our clients build tomorrow by solving today’s complex business problems involving strategy, procurement, design, delivery, and assurance of technology solutions. Our service areas include analytics and information management, delivery, cyber risk services, and technical strategy and architecture, as well as the spectrum of digital strategy, design, and development services Core Business Operations Practice optimizes clients’ business operations and helps them take advantage of new technologies. Drives product and service innovation, improves financial performance, accelerates speed to market, and operates client platforms to innovate continuously. Learn more about our Technology Consulting practice on www.deloitte.com
For information on CBO visit - https://www.youtube.com/watch?v=L1cGlScLuX0
For information on life of an Analyst at CBO visit- https://www.youtube.com/watch?v=CMe0DkmMQHI