Job Summary:

• Perform day-to-day systems and application management activities that may include initial set-up, configuration, testing of hardware or software platforms and customization to maintenance and upgrade projects
• Resolve problems by investigating and devising solutions for systems/operations.
• Conducting or participating in installations, configuration setups, error message handling, testing solutions and operational procedures
• Participate in the definition, implementation and integration of software components in collaboration with third-party software providers
• Design, develop and test supporting tools to aid in problem management analysis
• Prepare and maintain documentation for systems/applications deployment, support and operation
• Participate in projects and enhancements by representing the squad and providing technical advice ensuring adherence to documented processes, procedures and risk mitigation efforts
• Review problem situations and identify preventive measures and improvements to processes, procedures, or tools and implement these
• Contribute to further automating platform maintenance using Ansible, Jenkins and GIT
• Develop Python components that support the team in building and optimizing products into an innovative industry leader. 
• Participate in designing, implementing and troubleshooting of data products.

Skills on Resume: 

• Systems Administration (Hard Skills)
• Problem-Solving (Soft Skills)
• Installation and Configuration (Hard Skills)
• Collaboration (Soft Skills)
• Documentation (Hard Skills)
• Project Participation (Soft Skills)
• Automation (Hard Skills)
• Python Development (Hard Skills)

Job Summary:

• Work on development and administration of data platform for Penske - specifically on NoSQL database environment on Cloud
• Meet or exceed internal customer expectations in terms of availability, reliability, performance, and support
• Support technology selection, building, testing, deployment, and documentation of the data platforms related to big data
• Ensure that Penske data platforms are on the latest technology stack as per the business needs
• Support development related to significant data platform initiatives for the enterprise
• Maintain up-to-date knowledge on data security requirements
• Offer database expertise to multiple critical projects and initiatives, delivering on time, on schedule and within budget while meeting business needs
• Remain aware of data platform-level production issues and provide support
• Design, and build the security setup to comply with corporate security in creating Platform as a Service
• Design & Develop Concourse pipeline, Java script to support Development teams for continuous development and Continuous Integration
• Create Key Performance Indicators in PCF hosted on AWS cloud to assess the performance of Guided Repair, the Artificial Intelligence solution created to deliver Prescriptive Maintenance

Skills on Resume: 

• NoSQL Database Development (Hard Skills)
• Customer Service Orientation (Soft Skills)
• Technology Deployment (Hard Skills)
• Data Security Knowledge (Hard Skills)
• Project Delivery (Soft Skills)
• Production Support (Soft Skills)
• Security Compliance (Hard Skills)
• JavaScript Development (Hard Skills)

Job Summary:

• Handle the entire development cycle – architecture, design, development, deployment and monitoring.
• Build highly scalable, efficient and available data pipelines/solutions that are well-tested and maintainable.
• Collaborate with other team members to achieve product and business requirements.
• Experiment with new technologies to make sure we can scale for the future.
• Delivering core solution components
• Working closely with clients to understand project requirements
• Presenting findings back to clients
• Delivering workshops to clients
• Supporting more junior team members
• Write code (heh), probably in Python
• Design and implement parts of the data platform like airflow plugins, IAM parts, self-service monitoring, testing framework, CI deployment, etc.

Skills on Resume: 

• Full Development Cycle Management (Hard Skills)
• Scalable Data Pipeline Development (Hard Skills)
• Team Collaboration (Soft Skills)
• Technology Experimentation (Soft Skills)
• Core Solution Delivery (Hard Skills)
• Client Requirement Understanding (Soft Skills)
• Presentation Skills (Soft Skills)
• Python Coding (Hard Skills)

Job Summary:

• Develop and implementation of a modern, cloud-based data management and analytics platform
• Take into consideration the technology value system (performance, scalability, reliability, operability, flexibility, affordability, security and auditability) when reviewing the high-level business and technical objectives and requirements for the environment.
• Identify data architecture design alternatives based on a variety of solution factors and the ability to perform trade-off assessments of new technologies
• Engineering, testing and deploying of big data technologies to support a variety of use cases for customer demonstration purposes.
• Collaborate with business owners, product owners, data scientists, and development engineers in support of Agile planning, sprints and releases.
• Assist in the improvement and automation of environment and deployment processes for customer implementations.
• Identify weak spots, refactor code that needs it during development
• Optimize code and usage of 3rd party services for speed and cost-effectiveness
• Update and clearly communicate with the team about progress and struggles
• Work with cloud technologies
• Define infrastructure as a code

Skills on Resume: 

• Cloud Data Management (Hard Skills)
• Technology Value Assessment (Hard Skills)
• Data Architecture Design (Hard Skills)
• Big Data Engineering (Hard Skills)
• Agile Methodology (Soft Skills)
• Process Automation (Hard Skills)
• Code Optimization (Hard Skills)
• Infrastructure as Code (Hard Skills)

Job Summary:

• Design, implement and maintain large-scale data platforms with monitoring, authentication, alert management and log management
• Conduct performance and health monitoring to ensure optimal performance and availability
• Conduct resource planning and scaling to support increasing workload
• Work closely with infrastructure, application and data science teams to implement solutions and resolve technical challenges together
• Run dockerized applications
• Investigate logs, define metrics and dashboards
• Contribute to the service deployment and configuration automation to eliminate manual tasks
• Collaborate with OPS teams to operate current platform services
• Gain a deep understanding of Spreetail’s data and how source system changes affect the data warehouse.
• Develop systems and processes to be fast, efficient, and scale to increasing business demands.

Skills on Resume: 

• Data Engineering (Hard Skills)
• Monitoring Tools (Hard Skills)
• Resource Scaling (Hard Skills)
• Collaboration (Soft Skills)
• Docker Management (Hard Skills)
• Log Analysis (Hard Skills)
• Automation (Hard Skills)
• Data Warehousing (Hard Skills)

Job Summary:

• Provide technical direction to a project team of software professionals engaged in the implementation of large-scale data warehouse and business intelligence (DW/BI) solutions working in a distributed development environment
• Design and Develop scalable, efficient and high-performance data pipelines/ workflows that are capable of processing large amounts of batch and real-time data.
• Contribute to the design, implementation, and enhancement of configurations, and solutions deployed on big data platforms for security, accessibility, audit ability, compliance, data retention, usability, and performance.
• Work closely with infrastructure, network, database, business intelligence, and application teams to ensure standardization/optimizations of solutions deployed on AWS Cloud Data Platform.
• Provide subject matter expertise on migrating critical projects from on-prem to AWS Snowflake including but not limited data ingestion, data analysis, data governance, data management.
• Define and bring in Continuous Integration and Continuous Deployment for any type of workload (Application, database, caching, etc.) on AWS using industry-standard deployment and configuration tools like Docker, Jenkins, Ansible and Terraform.
• Develop Security mechanisms to obfuscate sensitive PII (Personally Identifiable Information) and PCI (Payments Card Industry) data.
• Work with Latest Cloud and Big Data Technologies like Spark, Kafka, Snowflake, Sqitch , Airflow, Aws S3, SQS,SNS, Lambda, EMR, CloudFormation, Docker, Jenkins, Kubernetes 
• Research on the latest cutting-edge Cloud technologies and implement use cases and provide guidance to the organization in implementing those technologies to improve productivity and cost optimizations.
• Troubleshoot server connectivity, excessive I/O, performance issues and network issues.
• Evaluate new tools and technologies around the Big Data Analytics platform infrastructure.
• Provide governance to development teams around change, release, problem & incident management

Skills on Resume: 

• Project Direction (Soft Skills)
• Data Pipeline Development (Hard Skills)
• Big Data Solutions Design (Hard Skills)
• AWS Cloud Standardization (Hard Skills)
• Migration Expertise (Hard Skills)
• CI/CD Implementation (Hard Skills)
• Data Security Mechanisms (Hard Skills)
• Cloud Technology Research (Hard Skills)

Job Summary:

• Delivering an AWS-based data platform for business, data, and engineering stakeholders to help bring data closer to users and enable us to utilize that data in more complex solutions.
• Design and architecture of the Platform and how it is consumed by customers throughout the business.
• Shape both the ways of working for the platform team and the tools and methodologies of the team.
• Working within the platform team alongside other engineers to design and engineer complex solutions to enable the delivery of the data platform and consuming data applications.
• Build excellent relationships with teammates and stakeholders that build the best solutions.
• Develop, build, and cultivate strong relationships with all stakeholders that are built on trust and respect.
• Collect and analyze system data to guide decisions for feature prioritization, scope, and design.
• Take total ownership of results of design, solutions, or ways to solve measurable problems.
• Implement best practices to manage data capacity, node forecasting, monitoring, alerts, and planning.
• Design, implement and maintain platform security and hardening.

Skills on Resume: 

• AWS Data Platform Delivery (Hard Skills)
• Platform Architecture Design (Hard Skills)
• Team Methodology Development (Soft Skills)
• Complex Solution Engineering (Hard Skills)
• Relationship Building (Soft Skills)
• Data Analysis for Decision-Making (Hard Skills)
• Ownership of Solutions (Soft Skills)
• Platform Security Implementation (Hard Skills)

Job Summary:

• Working with engineers in a positive, collaborative environment to understand technical requirements
• Building a data environment to support the acquisition and integration of data
• Evaluating and implementing technology to ensure a world-leading healnet platform evolves
• Support the growing needs of  drug discovery and research colleagues
• Ensuring data is available for all applications 
• Build the tables and environment 
• Ensure the data is available, efficiently provided, and automated where possible.
• Work on implementing requirements into databases as part of the application team
• Provide database-related guidance and support to Application Developers
• Support the successful creation and availability of data to application interfaces
• Maintaining databases for application-level support, including CRM, and for creating procedures and processes
• Test databases and perform bug fixes

Skills on Resume: 

• Collaborative Requirements Gathering (Soft Skills)
• Data Environment Development (Hard Skills)
• Technology Evaluation (Hard Skills)
• Support for Drug Discovery Needs (Soft Skills)
• Data Availability Assurance (Hard Skills)
• Database Implementation (Hard Skills)
• Application Developer Support (Soft Skills)
• Database Maintenance and Testing (Hard Skills)

Job Summary:

• Give advice on requirements and support the systems and processes that collate and capture data
• Provide advice on the long-term data and information needs of the company
• Undertake ad-hoc querying tasks on databases
• Assist with schema design, code review and SQL query tuning
• Install, tune and implement database installations.
• Optimize database systems for performance and efficiency
• Create complex functions, scripts, stored procedures, and triggers to support application development
• Upgrade and improve data schemas and design
• Perform testing on databases and data environments. 
• Ensure data quality and integrity
• Model the principles of security and best practice when managing data assets, with an emphasis on private or sensitive data
• Implement and manage company data management practices

Skills on Resume: 

• Requirements Advisory (Soft Skills)
• Long-term Data Planning (Hard Skills)
• Ad-hoc Querying (Hard Skills)
• Schema Design Assistance (Hard Skills)
• Database Installation and Tuning (Hard Skills)
• Performance Optimization (Hard Skills)
• Complex Function Development (Hard Skills)
• Data Quality Assurance (Hard Skills)

Job Summary:

• Creating data processing components and systems utilizing cloud computing technologies including AWS Cloud.
• Create enterprise data lake environment, leveraging S3 and data lake management technologies (Delta Lake or AWS Lake Formation.)
• Build modern config-driven ETL pipelines using workflow management applications such as Airflow and distributed computing using Spark.
• Establish platform frameworks for data ingestion, data storage, query processing, validation and monitoring.
• Work with users of the platform to ensure frameworks are being leveraged.
• Builds and tests CI/CD deployment pipelines for platform capabilities.
• Develops and supports monitoring and data quality solutions for data systems and components on the platform.
• POC and compare solution options for platform technology components.
• Partner with other technical groups to understand and apply enterprise standards on the platform.
• Design and document application architecture overviews for platform capabilities.

Skills on Resume: 

• Cloud Data Processing (Hard Skills)
• Data Lake Creation (Hard Skills)
• ETL Pipeline Development (Hard Skills)
• Platform Framework Establishment (Hard Skills)
• User Engagement (Soft Skills)
• CI/CD Pipeline Development (Hard Skills)
• Data Quality Solutions (Hard Skills)
• Application Architecture Documentation (Hard Skills)

Job Summary:

• Participate as a member of the Medalogix delivery team to deliver product and technology enhancements through software development, quality assurance and support.
• Help identify and address (crush) technical debt in the MLX application.
• Develop and support EMR integrations. 
• Creating new integrations and supporting existing data flows.
• Take accountability for the areas of database administration, development and architecture.
• Safeguarding data platform and providing the company with a clear direction and vision of the platform.
• Work closely with the systems engineering team to ensure proper disaster recovery and high availability processes in place to provide the satisfaction of uptime, RPO and RTO objectives.
• Support the Medalogix production systems through support and on-call rotations.
• Provide SQL support to assist other teams with manual data extracts and data understanding.
• Provide design and code peer reviews for T-SQL and schemas developed by other delivery team members.
• Responsible for improving the database development and ETL experience of the MLX application.
• Data wrangling, building models, and deriving insights from Healthcare data using R and Python.

Skills on Resume: 

• Software Development and QA (Hard Skills)
• Technical Debt Management (Hard Skills)
• EMR Integration Development (Hard Skills)
• Database Administration (Hard Skills)
• Data Platform Visioning (Soft Skills)
• Disaster Recovery Planning (Hard Skills)
• SQL Support and Data Extraction (Hard Skills)
• Data Analysis and Modeling (Hard Skills)