Description

Key Skills: Product Life Cycle Management, Agile, Product Management, Scrum, Communications, Data Analysis, UAT

Roles and Responsibilities:

• Collect stakeholder use cases and translate them into detailed product specifications, user stories, data flows, implementation plans, and documentation.
• Collaborate with cross-functional teams (Architecture, Design, Program, Engineering, and Business) to align requirements and shape product roadmap and strategy.
• Analyze qualitative and quantitative data to inform product decisions and drive improvements.
• Lead User Acceptance Testing (UAT) and ensure product release readiness, including training, documentation, and stakeholder/end-user support.
• Manage a portfolio of products and projects to ensure timely execution against business goals.
• Identify, analyze, and recommend technical integration strategies with partners and vendors.
• Partner with other Product Managers to innovate platform services.

Skills Required:

• Strong hands-on experience in Scala, Java, and Python development.
• Expertise in Big Data technologies including Spark, Spark Streaming, Flink, Kafka, and distributed data processing systems.
• Strong experience with AWS services such as S3, EMR, Lambda, Glue, Kinesis, IAM, and ALB.
• Experience with Databricks, Snowflake, SingleStore, and cloud-native data platforms.
• Knowledge of Terraform, Kubernetes (K8s), and Spinnaker for infrastructure automation and deployment.
• Experience with microservices architecture using Spring Boot, Spring Cloud, FastAPI, or NestJS.
• Understanding of Airflow and workflow orchestration frameworks.
• Good understanding of scalability, data quality, observability, and platform reliability concepts.
• Experience with CI/CD pipelines, automated testing, and engineering best practices.
• Strong analytical, troubleshooting, and root cause analysis skills.
• Experience working in Agile development environments.
• Excellent communication, leadership, and stakeholder management skills.

Education: Bachelor's degree in Computer Science, Information Technology, Engineering, or a related field.

• Master's degree or certifications in Cloud, Big Data, or Data Engineering technologies are an added advantage

Key Skills

Education

Any Graduate