Job Title: Senior Big Data SME (Subject Matter Expert) Location : Remote Budget : Upto 28 LPA to 30 LPA Work Hours: UK Time (1:30 PM – 10:30 PM IST) Industry : Technology / IT Experience : 10 to 15 years in Data Engineering, Big Data, or related roles 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 Show more Show less

Job Title: Senior Big Data SME (Subject Matter Expert) Location : Remote Budget : Upto 28 LPA to 30 LPA Work Hours: UK Time (1:30 PM – 10:30 PM IST) Industry : Technology / IT Experience : 8 to 12 years in Data Engineering, Big Data, or related roles 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 Show more Show less

Job Title: Senior Big Data SME (Subject Matter Expert) Location : Remote Budget : Upto 28 LPA to 30 LPA Work Hours: UK Time (1:30 PM – 10:30 PM IST) Industry : Technology / IT Experience : 8 to 12 years in Data Engineering, Big Data, or related roles 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 Show more Show less

Experience: 8+ years in Data Engineering or related roles, with a focus on cloud technologies and big data solutions. Technical Expertise: Deep knowledge of cloud platforms such as Azure, AWS, and GCP. Hands-on experience with Big Data technologies like Apache Spark, Hadoop, Kafka, and Flink. Solid understanding of ETL frameworks (DBT, Apache Airflow, AWS Glue, etc.). Expertise in containerization with Docker and Kubernetes (AKS, EKS, GKE). Proven experience in Data Warehousing & Modeling (Snowflake, Redshift, BigQuery, Synapse). Strong background in Data Security and Governance (IAM, RBAC, encryption, data lineage). Experience with CI/CD pipelines using Terraform, GitHub Actions, and Azure DevOps. Programming & Scripting Skills: Proficiency in Python, Bash, or PowerShell for automation tasks. Cloud Architecture: Experience designing hybrid/multi-cloud architectures to ensure high availability and fault tolerance across Azure, AWS, and GCP. Leadership & Mentorship: Proven ability to lead teams, mentor junior engineers, and collaborate effectively with cross-functional teams. Preferred Skills: Familiarity with Machine Learning pipelines and predictive analytics. Experience with Serverless Computing (AWS Lambda, Azure Functions, Google Cloud Functions).