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).
Sr. Big Data SME Job Requirements: 8+ years of experience manipulating data sets and building statistical and machine learning models. Masters or Ph D in Statistics, Mathematics, Computer Science, or another quantitative field - Fluent English (written/spoken) Experience Developing Machine Learning / Data Science models, from coding to deployment 2+ years of experience in teaching or training. 3+ Years of Hands-on Hybrid Development experience preferred. Skills Able to train/mentor/coach in coding (mandatory python and SQL, java or C++) Project Management background preferred. Knowledge of the Consulting/Sales structure. Empathy and service attitude Fast-paced Project Management experience Desirable previous international experience (US, Canada, or Europe) Leading consultants to grow and create tangible benefits and assets. Competencies Mentor / Develop / Train consultants Orientation to results Leadership Main responsibilities of the position Collecting data through means such as analyzing business results or by setting up and managing new studies Transferring data into a new format to make it more appropriate for analysis Build tools to automate data collection Compare and analyze provided statistical information to identify patterns, relationships, and problems Define and utilize statistical methods to solve industry-specific problems in varying fields, such as economics and engineering Prepare detailed reports for management and other departments by analyzing and interpreting data Train assistants and other members of the team how to properly organize findings and read data collected Design computer code using various languages to improve and update software and applications Refer to previous instances and findings to determine the ideal method for gathering data Define and utilize statistical methods to solve industry-specific problems in varying fields, such as economics and engineering Prepare detailed reports for management and other departments by analyzing and interpreting data Train assistants and other members of the team how to properly organize findings and read data collected Design computer code using various languages to improve and update software and applications Refer to previous instances and findings to determine the ideal method for gathering data Desired Skills (Including but Not Limited to): Knowledge in Deep Learning/Neural Networks techniques, specifically NLP (Natural Language Processing, Generative AI and Computer Vision Python and SQL coding skills are indispensable Cloud experience in one of AWS - Amazon Web Service, Azure, Google Cloud Platform Proficiency oinn Machine Learning libraries and frameworks like Tensorflow, Keras, Pytorch, OpenCV, Bertl, Elmo SpaCy, NLTK, etc. Preferred- Experience creating Chatbots, and similar applications that use NLP. Object Character Recognition and Computer Vision projects like Face Recognition is a plus Experience using statistical computer languages, including Python & SQL, R is a plus to manipulate data and draw insights from large data sets Knowledge and experience in statistical and data mining techniques: GLM / Regression, Random Forest, Boosting, Trees, text mining, social network analysis, etc. Experience creating and using advanced machine learning algorithms and statistics: regression, simulation, scenario analysis, modeling, clustering, decision trees, neural networks, etc. Ability to compile and organize statistical information retrieved and present findings to management Faculty to work toward multiple deadlines simultaneously Strong problem-solving skills with an emphasis on product development. Certification in a Cloud-Based/Machine Learning service desirable