• Operate IT infrastructure  (infrastructure setup and maintenance, AI/ML application maintenance)
• Script programming to increase the level of automation
• Analyse upcoming incidents and work out sustainable solutions.
• develop complex solutions/tools in order to improve the level of automation and customer satisfaction.
• Implement security, and encryption standard methodologies for Big Data environments
• Configure, monitor and maintain Hadoop Clusters and ecosystem
• Operate Multi-cloud platform ns ( Azure, AWS, Google )
• Ensure reliable and effective functionality in the areas of Data Ingestion, Data processing, Data Analytics, Data Visualization
• Collaborating with engineers, data scientists and analysts to understand needs.
• Provide robust platforms to meet a wide range of customer and business data needs

Skills: Infrastructure Management, Scripting and Automation, Incident Analysis and Resolution, Solution Development, Security and Compliance, Hadoop Ecosystem Configuration, Data Lifecycle Management, Cross-Functional Collaboration

• Oversee health monitoring infrastructure to ensure the highest standards of systems availability and data quality.
• Design and implement sustainable data validation and cleanup processes.
• Support operational documentation clarity and completeness.
• Work closely with data warehouse and report developers to design and implement efficient change management practices.
• Collaborate with peer groups on building and supporting test environments.
• Partner with other Ops teams in incident escalation and resolution.
• Perform initial incident investigations to propose time and cost-effective resolution plans.
• Staying on top of the ongoing maintenance activities and open issues with data warehouse, reporting and data integration infrastructure.
• Designing new processes to facilitate deployment, metadata management and support of internal database and reporting applications across multiple environments.
• Managing the escalation queue and coordinating incident resolution steps between BI and other teams.

Skills: System Monitoring, Data Quality Assurance, Operational Documentation, Change Management, Test Environment Support, Incident Escalation, Incident Investigation, Process Design

• Manage and track data as it runs through a complex ingestion and processing data pipeline
• Run engineering workflows to actively prioritize data sessions
• Serve as the interface between the operations and engineering teams to understand and resolve issues
• Write basic SQL queries to help capture data from internal databases
• Troubleshoot problems with missing or corrupted data and build a recovery strategy
• Partner with Data Engineering teams to design engineering improvements to increase operational efficiencies
• Build and maintain internal documentation that operations and engineering teams use for workflow improvement efforts
• Create and use dashboards to make data-informed decisions to improve operations
• Analyze operational metrics and identify bottlenecks in processes
• Track data through the pipeline regularly to ensure all requirements are being met

Skills: Data Pipeline Management, Workflow Prioritization, Team Interface, SQL Proficiency, Data Troubleshooting, Engineering Collaboration, Documentation Management, Data Analysis and Reporting

• Architect, build, test, and manage common integrated data platform infrastructure from data collection and data processing all the way to data storage and data manipulation.
• Establish an ongoing improvement plan for Cloud extensibility support operations, including technology reviews, root cause analysis, action reports analysis, and Cloud portfolio review to ensure adequate infrastructure to provide a suitable operating environment.
• Manage processes related to modernization, architecture, and transformation through Cloud technology adoption.
• Maintain, develop, and optimize batch processing pipelines and ingestion of large data volumes
• Create streaming processes for real-time applications.
• Evaluate project-level architecture reviews and vendor selection recommendations.
• Improve scalability, stability, automation, accuracy, speed, cost, and efficiency of existing Data Systems by performing query optimization, database tuning, indexing, and partitioning.
• Support existing and design /develop new ETL/ELT processes that move, integrate, ingest, transform and manage data on the Cloud.
• Work with the OT & IT Security Team, Solution Architects, and Infrastructure Team over any security-related issues that arise and assist in log reviews & maintenance of operational activities.
• Implement and follow data warehousing, data cataloging, data security, and data quality best practices

Skills: Data Platform Architecture, Cloud Operations Improvement, Cloud Modernization Management, Batch Processing Optimization, Real-Time Data Streaming, Architecture Evaluation, Data System Efficiency, ETL/ELT Process Design

• Implementation, maintenance, and support of Pluralsight's Product Data Platform
• Responsible for onboarding new data sets (both internal and external sources)
• Responsible for exploratory research and data analysis and requirements gathering
• Responsible for process automation, quick prototypes, and data testing (both manual and automated testing) using SQL, Python and other relevant technology and tools
• Integrate data and manage mapping tables
• Work with sources or 3rd party vendors on exception handling
• Ensure all required input data is available, processes run successfully, and data aggregations and transformations processed correctly
• Support all data operations in AWS Cloud Services
• Work with data currently in production, with some pipelines created
• Move data using Redshift

Skills: Product Data Platform Management, Data Onboarding, Exploratory Data Analysis, Process Automation, Data Integration, Vendor Collaboration, Data Quality Assurance, AWS Cloud Services Support

• Experience in an operations role (in a data context)
• Experience supporting Hadoop (HDP, Cloudera) systems at scale
• Experience supporting EDW/DM solutions with a mix of technology (Microsoft, Oracle)
• Experience supporting Cloud deployments (Azure, AWS)
• Experience supporting Data Science teams and advanced analytics tools (SAS, R, Python)
• Experience with system monitoring, alerting, and reporting
• A thorough understanding of data frameworks, Big Data processing patterns, and data pipeline optimization
• Strong DevOps skills (SCM, CI/CD, Automation)
• Strong ITIL foundations
• Strong Agile experience
• Experience with Azure and AWS architectures
• Experience interacting with RESTful APIs using tools including Postman, a Web browser, or an IDE including VS Code.

Qualifications: BA in Data Science with 7 years of Experience

• Strong programming background, master in Java or other object-oriented languages
• Experience with Unix/Linux operating systems
• Experience working with cloud technologies such as AWS
• Experience with APM/RUM tools such as DataDog, Dynatrace, New Relic, Splunk, etc.
• Excellent problem-analysis and problem-solving skills, to troubleshoot and implement new monitoring tools and capabilities end-to-end
• Hands-on experience with Micrometer or a similar tool
• Familiar with container technologies such as docker and Kubernetes
• Familiar with both SQL DB and NoSQL such as MySQL and Cassandra
• Experience of working within an Agile framework
• Experience working with Excel.
• Experience working with various data formats including Excel, CSV, and JSON.
• Experience with Ruby and Git.
• Experience with NoSQL Databases including MongoDB.

Qualifications: BS in Computer Science with 5 years of Experience

• Strong financial domain knowledge
• Software Engineering skills in Python
• Experience supporting real-time market data
• Linux operator and experience in at least one scripting language
• Experience managing others
• Experience handling Level 2&3 support issues as part of a global team
• Excellent communication skills, oral and written
• Experience within a quantitative trading firm/hedge fund
• Knowledge of Q/KDB+
• Knowledge of PostgreSQL
• Experience and knowledge of Orchestration Tools Cloud services such as AWS Geneos
• Experience with Python, SQL, and Excel.
• Experience working with relational databases and writing SQL.

Qualifications: BA in Information Systems with 6 years of Experience

• Knowledge of ITIL processes or IT operations experience
• Strong knowledge of Big Data and Cloud (AWS) eco-systems S3, RDS, Lambda, AWS Dynamo DB, Aurora, Redshift, Elasticsearch, Step function etc )
• Understanding of containerization technologies, Docker containers and orchestration platforms such as Kubernetes
• Excellent knowledge of development tools and integrated build systems, Git/Jenkins
• Broad knowledge of IT disciplines including computing, network and storage platforms & Compliance
• An ability to translate business processes to understand how the data flows between systems
• Experience with Tooling and Scripting  
• Experience  with Python and Postman
• Knowledge of Healthcare R&D, Regulatory and compliance
• Experience with BI tools, ETL frameworks
• Working knowledge of Data pipelines using Spark & Kafka is an added advantage
• Knowledge of data management concepts including data catalogs, data lineage and data quality solutions
• Experience in the Healthcare domain

Qualifications: BS in Software Engineering with 4 years of Experience

• Experience in supporting systems infrastructure operations, upgrades, deployments, and monitoring
• Experience as a Data Engineer working with large, complex data sources, specifically image video data and analytics
• Experience with DevOps automation and building CICD pipelines Terraform, Gitlab RunnerJenkins, CloudFormation, etc.
• Experience in providing customer service directly to end users, especially with crisis management
• Experience working with video data pipelines in both batch and streaming environments with technologies for computer vision experience working with video formats and codec compression formats such as MP4, AVI, MOV, H.26
• Experience with data pipeline and workflow management tools
• Experience designing, building, or operationalizing large-scale data applications using AWS services (Spark, EMR, RedShift, Kinesis, Firehose, Athena, Lambda, Glue) in combination with other platforms
• Experience and excellent understanding of AWS services
• Experience implementing role-based security management, AD integration, IAM security policies, and auditing in a LinuxHadoopAWS environment. 
• Familiar with penetration testing and scan tools for remediation of security vulnerabilities
• Experience with monitoring tools such as AWS CloudWatch, Datadog, and Elastic Search

Qualifications: BA in Business Analytics with 5 years of Experience