The team

Deloitte’s Technology & Transformation practice can help you uncover and unlock the value buried deep inside vast amounts of data. Our global network provides strategic guidance and implementation services to help companies manage data from disparate sources and convert it into accurate, actionable information that can support fact-driven decision-making and generate an insight-driven advantage. Our practice addresses the continuum of opportunities in business intelligence & visualization, data management, performance management and next-generation analytics and technologies, including big data, cloud, cognitive and machine learning.

Key skills required:

• Full Stack & Stream Development: Design, develop, and maintain high-quality, scalable, and robust real-time stream processing applications using Java.
• Stateful Stream Processing: Build high-throughput, low-latency data pipelines using Apache Flink, leveraging advanced state management, windowing, and exactly-once processing guarantees, water marking strategies.
• Cloud-Native Engineering: Build and deploy containerized (Docker, Kubernetes) and serverless applications on AWS and GCP, leveraging cloud-native services for computing, data, and messaging.
• Infrastructure as Code (IaC): Develop and manage cloud infrastructure using IaC principles and tools such as Terraform and Ansible to ensure automated, repeatable, and secure environment provisioning .
• Operational Excellence (SRE): Embrace a "you build it, you run it" philosophy, taking full lifecycle ownership including automated testing, deployment, and Flink application fine-tuning.
• Risk & Control Management: Adhere to our technology standards and risk management frameworks , mitigating risks in code to ensure compliance with security policies and data regulations.
• CI/CD & Automation: Implement and maintain CI/CD pipelines to automate the build, test, and deployment processes, enabling rapid delivery of stream analytics features.
• Collaboration & Code Quality: Actively participate in code reviews, champion the Developer Manifesto, and mentor junior engineers while collaborating across teams to promote reuse.

Preferred Qualifications

• Education - Bachelor’s degree in business, Engineering, Management, or a related field
• Proven experience as a Software, Full Stack, or Big Data Developer in a lead or senior capacity.
• Strong proficiency in Java (preferred).
• Expertise in Apache Flink core APIs (DataStream, Table API/SQL) and tuning Flink components like JobManager and TaskManager.
• Hands-on experience with public cloud platforms, specifically AWS.
• Containerization Technologies: Expertise in Docker and container orchestration platforms like Kubernetes (e.g., Amazon EKS).
• Infrastructure-as-Code: Demonstrable knowledge of IaC tools such as Terraform and/or Ansible.
• Strong architectural skills focused on building well-engineered, testable, and resilient distributed systems.
• Experience with automated testing frameworks and a commitment to building quality into stream applications.
• Understanding of Site Reliability Engineering (SRE) practices in an operational ownership environment.

Key Skills & Competencies

• Public cloud provider certifications (e.g., AWS Certified Solutions Architect, Google Cloud Professional Cloud Developer).
• Experience with stream messaging architectures such as Apache Kafka, AWS Kinesis, or Google Pub/Sub.
• Familiarity with CI/CD tools and platforms like Harness, Tekton, or Jenkins.
• Experience building and consuming RESTful APIs and microservices.
• Knowledge of networking, security, and identity/access management (IAM) in a cloud environment.
• Experience with monitoring and observability tools (e.g., Prometheus, Grafana, ELK stack) customized for Flink clusters.

Location and Way of Working:

• Base location: Mumbai