Job Summary:

• Create and optimize data pipeline architecture
• Build data access platforms for data scientists and analysts
• Implement ETL processes through cloud-based solutions (S3, Redshift)
• Develop large-scale data structures for business intelligence analytics by using data mining tools
• Write processes to ingest, transform, and distribute data into internal applications.
• Improve product instrumentation to ensure analysis objectives can be accomplished
• Design and implement the TCP architecture and data models in Azure cloud, and in the meantime ensure the GDPR compliance of the new product. 
• Design how to collect and analyze traveler data in the TCP platform. 
• Create adaptive machine learning algorithms to gain better insights from traveler data and boost the capability of the platform. 
• Set up the big data platform to be able to better present analysis results and ease the reporting and decision-making.
• Designing and implementing distributed and robust databases for huge data volumes will be part of job as well.

Skills on Resume: 

• Setting up big data platforms (Hard Skills)
• Analyzing traveler data (Hard Skills)
• Problem-solving (Soft Skills)
• Analytical thinking (Soft Skills)
• Attention to detail (Soft Skills)
• Communication (Soft Skills)
• Collaboration (Soft Skills)
• Adaptability (Soft Skills)

Job Summary:

• Deliver this platform, close interaction with the business team, QA, and other DEVs
• Integrate into the tech team and work in agile.
• Support the dev team and progress in delivering key objectives.
• Design and implement the TCP architecture and data models in the Azure cloud
• Ensure the GDPR compliance of the new product
• Create adaptive machine-learning algorithms to gain better insights from travelers’ data
• Set up the big data platform to be able to better present analysis results and ease the reporting and decision-making
• Design and implement a distributed and robust database for huge data volume
• Building distributed and highly performant Big Data applications that process massive amounts of data (both structured and unstructured data) in batch and streaming
• Building solutions to migrate data from upstream sources into Hadoop, both one-off historic data loads and set-up regularly scheduled updates including Change Data Capture
• Leveraging the Big Data Ecosystem to enrich and transform corporate data to enable searching, data visualization, and advanced analytics

Skills on Resume: 

• Agile Methodology (Soft Skills)
• Cloud Architecture (Hard Skills)
• Data Privacy and Security (Hard Skills)
• Machine Learning and Analytics (Hard Skills)
• Big Data Technologies (Hard Skills)
• Database Design (Hard Skills)
• Data Engineering (Hard Skills)
• Data Visualization (Hard Skills)

Job Summary:

• Collaborate with multiple product owners on concurrent high-priority projects.
• Work with senior enterprise and functional architects to translate business needs into detailed technical solutions.
• Create estimates and implementation timelines for fast-paced Agile development.
• Coordinate with interfacing applications to define integration strategies and data requirements.
• Take ownership and accountability for assigned deliverables throughout the development lifecycle.
• Lead small teams of developers on technical deliveries.
• Ensure seamless communication between stakeholders and development teams.
• Contribute to the successful execution of projects in a dynamic environment.
• Designing and programming BigData applications
• Participation in creating application architecture
• Create new and maintenance of already functioning software modules in accordance with the provided specification

Skills on Resume: 

• Project Collaboration (Soft Skills)
• Technical Translation (Hard Skills)
• Agile Development (Hard Skills)
• Integration Expertise (Hard Skills)
• Accountability (Soft Skills)
• Team Leadership (Soft Skills)
• Stakeholder Communication (Soft Skills)
• Dynamic Project Execution (Soft Skills)

Job Summary:

• Automating repeatable processes with solutions that are robust, configurable and scalable
• Working closely with analysts and business stakeholders to gather requirements and build data marts
• Continuous delivery through Agile Methodologies on Big Data Platforms
• Working closely with release engineers and Product Management to deliver software in a continuous delivery environment
• Producing design documentation and provide knowledge transfers to the Live System Support teams
• Support existing processes running in production
• Design, develop, and support of various big data solutions at scale (hundreds of Billions of transactions a day)
• Find smart, fault-tolerant, self-healing, cost-efficient solutions to extremely hard data problems
• Take ownership of the various big data solutions, troubleshoot issues, and provide production support
• Conduct research on new technologies that can improve current processes
• Contribute to publications of case studies and white papers delivering cutting edge research in the ad fraud, security and measurement space

Skills on Resume: 

• Automation Skills (Hard Skills)
• Data Mart Development (Hard Skills)
• Agile Methodologies (Hard Skills)
• Release Management (Hard Skills)
• Knowledge Transfer (Hard Skills)
• Production Support (Hard Skills)
• Big Data Development (Hard Skills)
• Problem-Solving Skills (Hard Skills)

Job Summary:

• Analysis and investigation of network traffic logs including identification, research, and documentation of malicious network behavior.
• Use open-source research methodologies to profile malware behavior and the business context of observed communications.
• Perform forensic analysis of computer systems and malware.
• Use graphical and geospatial software to visualize data patterns.
• Assess and present risk mitigation strategies.
• Compile analytic findings in detailed, actionable reports and present to customers.
• Interface with big data platforms such as Hadoop and ElasticSearch to dissect and analyze and visualize massive amounts of data.
• Partner closely with engineering leads to automate new malware analysis algorithms Peer-review analytic reports from other threat hunters.
• Maintain a knowledge base of indicators of compromise by following emerging threats reported in social media and security whitepapers. 
• Understanding of network communication protocols and transport layers, including TCP/IP, HTTP, and DNS.
• Analyze, summarize, and visualize data in a clear and effective manner.
• Explain the malware “kill-chain” life cycle.

Skills on Resume: 

• Network Traffic Log Analysis (Hard Skills)
• Open-Source Research (Hard Skills)
• Forensic Analysis (Hard Skills)
• Data Visualization (Hard Skills)
• Risk Assessment and Mitigation (Hard Skills)
• Report Compilation and Presentation (Hard Skills)
• Big Data Analysis (Hard Skills)
• Collaboration and Review (Soft Skills)

Job Summary:

• Using the Hadoop platform, compare and combine with the Data Delivery team
• Worked on a handful of disciplines, one of note is the “Ingestion” project to prepare real-time data reporting.
• Apache Spark tool accessed by Python and SCALA for performance.
• Implementing real-time data pipelines and models using the latest trends of data delivery tools from the ecosystem.
• Working on real-time analytics of time series drilling data using HIVE, Spark, SCALA, oozie, Python and data virtualization.
• Involves real-time ingestion of high volume and velocity of Drilling data and providing it for analytics.
• Manage change requests, code migration, defect tracking, and status reporting
• Define gaps in process documents and implement process changes
• Support use case requirements, including documentation and code execution
• Support testing and ongoing platform optimization efforts through effective data engineering and system configurations
• Maintain metadata, including data dictionaries, for custom data points and data transformations
• Creating technical documentation
• Participate in the implementation of IT systems
• Cooperate with the experienced development team

Skills on Resume: 

• Proficiency in Hadoop Platform (Hard Skills)
• Data Integration (Hard Skills)
• Real-time Data Pipeline Development (Hard Skills)
• Data Analytics (Hard Skills)
• Process Improvement (Soft Skills)
• Documentation (Soft Skills)
• System Maintenance (Soft Skills)

Job Summary:

• Ensuring that the final technical solution addresses and satisfies all business requirements.
• Translate business needs into technical design and requirements.
• Collaborate with client technical stakeholders
• Establish appropriate access to the client’s environment and to identify the client’s data requirements.
• Support the initial investigation into the quality and content of client data sources 
• Support of the technical design and development of business requirements
• Establish the instance and technical environments for development, testing, and deployment
• Create the technical design documentation to reflect the technical requirements needed for successful delivery.
• Configure the core functionality to meet client needs.
• Create the data model and populate all needed data structures
• Ensure access to the right data to support data point development.
• Design, build and test the calculation of data points and client data transformations 

Skills on Resume: 

• Business Analysis (Soft Skills)
• Technical Design (Hard Skills)
• Stakeholder Collaboration (Soft Skills)
• Data Management (Hard Skills)
• Development Support (Hard Skills)
• Environment Setup (Hard Skills)
• Documentation Skills (Hard Skills)
• Configuration and Testing (Hard Skills)