28 Mar
Tech Consulting
Delhi
Job Title: Senior Big Data SME (Subject Matter Expert)
Location: Remote
Work Hours: UK Time (1:30 PM – 10:30 PM IST)
Industry: Technology / IT
Experience: 10+ years in Data Engineering, Big Data, or related roles
Compensation: 28 LPA
About the Role
We are hiring a Senior Big Data Subject Matter Expert (SME) to support and guide ongoing cloud data initiatives, with a focus on mentorship, project support, and hands-on training in modern Big Data tools and technologies.
This role is ideal for someone with deep technical experience who enjoys coaching teams, troubleshooting data platform issues, and enabling engineers to grow in real-world cloud projects. You’ll collaborate with engineers, architects, and leadership to ensure best practices in cloud data solutions and smooth delivery across projects.
Key Responsibilities
Provide technical support and guidance across Big Data platforms in Azure, AWS, or GCP.
Train and mentor engineers on Big Data tools (Spark, Kafka, Hadoop, etc.).
Assist project teams with architecture design, deployment, and debugging of data pipelines.
Collaborate with cross-functional teams to ensure operational excellence and platform stability.
Review and improve existing cloud data pipelines, focusing on performance, cost-efficiency, and scalability.
Conduct regular knowledge-sharing sessions, workshops, and best practice walkthroughs.
Help define and implement data governance, access control, and security frameworks.
Technical Skills Required
Cloud Platforms: Azure, AWS, GCP (at least 2 preferred)
Big Data Tools: Apache Spark, Kafka, Hadoop, Flink
ETL Tools: DBT, Apache Airflow, AWS Glue
Data Warehousing: Snowflake, BigQuery, Redshift, Synapse
Containerization & Orchestration: Docker, Kubernetes (AKS, EKS, GKE)
CI/CD & IaC: Terraform, GitHub Actions, Azure DevOps
Security & Governance: IAM, RBAC, data encryption, lineage tracking
Programming/Scripting: Python, Bash, PowerShell
Preferred (Nice-to-Have)
Exposure to Machine Learning pipelines and MLOps
Experience with serverless computing (AWS Lambda, Azure Functions)
Understanding of multi-cloud or hybrid-cloud architectures
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