Job Summary:

• Design and implement operational requirements
• Maintain/Update Runbooks, Team wiki and operational documents
• Follow up with new security vulnerabilities
• Monitor compliance of CIs and automate operations
• Review and improve monitoring
• Identify risks and define mitigation actions
• Review the compatibility of the infrastructure components changes/upgrades/patches (Linux, Antivirus, MySQL, Active Directory, etc
• Coordinate with IT partners the Linux patching activities
• Build highly scalable applications that can be used by thousands of users
• Build a declarative data processing platform/engine that can translate business-friendly rules into Apache Spark source code.
• Build Data Acquisition, Data Quality, Data Processing, Data distribution tool using 

Skills on Resume: 

• IT Operations Management (Hard Skills)
• Security and Compliance (Hard Skills)
• System Monitoring and Improvement (Hard Skills)
• Risk Management (Soft Skills)
• Infrastructure Management (Hard Skills)
• Software Development (Hard Skills)
• Data Engineering (Hard Skills)
• Collaboration and Coordination (Soft Skills)

Job Summary:

• Design and implement big data platform using Apache spark, Sentry, Hive, Impala, Hbase, etc on Cloudera.
• Develop data engineering pipelines as per requirements using Cloudera components.
• Help in performance tuning of the platform, queries, etc.
• Work closely with business analysts to understand, and synthesize requirements.
• Re-engineer existing solutions to improve performance, add functionalities, etc.
• Collaborate with cross-functional stakeholders, participate in engineering activities to ensure consistently high levels of quality and productivity, and provide timely and accurate estimates for deliverables
• Stay up-to-date on new technologies developing around the big data ecosystem and suggest use cases that can be implemented.
• Lead junior developers in task allocation, mentoring, etc.
• Install and manage infrastructure and Big Data applications.
• Assure correct platform functioning, data procurement, optimizing processing (setting up applications, technical management of data patterns), and sustaining data and enhancement.
• Using and optimizing the use of data with all statistical techniques / computational algorithms.

Skills on Resume: 

• Proficiency in Big Data Technologies (Hard Skills)
• Data Engineering (Hard Skills)
• Performance Tuning (Hard Skills)
• Requirements Analysis and Synthesis (Soft Skills)
• Solution Re-engineering (Hard Skills)
• Cross-functional Collaboration (Soft Skills)
• Knowledge of Emerging Technologies (Hard Skills)
• Leadership and Mentorship (Soft Skills)

Job Summary:

• Facilitate the establishment of a secure data platform on client's On-Prem Cloudera infrastructure
• Document and develop ETL logic and data flows to facilitate the easy usage of data assets, both batch and real-time streaming
• Leverage the following (but not limited to) components of Cloudera distribution to achieve project objectives
• Consistent practice in coding and unit testing
• Monitor the research base and metrics in real time.
• Develop new importation processes to improve data quality.
• Enrich the database with new influx and assure its functional support.
• Responsible for directing cross-functional and design workshops, as well as elicitation sessions with clients 
• Responsible for creating business goals, best work practices, and technical requirements. 
• Develop solutions for real-time distributed data processing, as well as computational pipelines.

Skills on Resume: 

• Cloudera Infrastructure Management (Hard Skills)
• ETL Development (Hard Skills)
• Cloudera Components Expertise (Hard Skills)
• Coding and Unit Testing (Hard Skills)
• Real-time Monitoring and Metrics (Hard Skills)
• Data Quality Improvement (Hard Skills)
• Workshop Facilitation (Soft Skills)

Job Summary:

• Act as the product expert to guide customers' journey through Data Connectivity solutions.
• Subject Matter Expert for helping enterprise customers successfully connect  data sources 
• Architecting solutions and supporting development teams to deploy to an enterprise level.
• Engage with customers in architectural conversations that will define how solutions will integrate with other parts of the data ecosystem
• Adapt best practice to the needs of the customer to simplify the adoption of the data connectivity solutions
• Answer customer questions concerning customization, integration, enterprise architecture and general functionality.
• Manage client expectations, establish credibility at all levels within the customer and build problem-solving partnerships with the client, partners and colleagues
• Provide timely, prioritized and complete feedback to Product Management, Sales and Services regarding the business cases, requirements and issues
• Determine trends in sets of data, accurately read data models and code, and develop data rules from analyses.
• Develop solutions for real-time distributed data processing, as well as computational pipelines.
• Design, implement, and deploy the custom application on Hadoop or other Data Lake solutions.
• Implementation of complete Big Data Solutions, including data acquisition, storage, transformation, and analysis.

Skills on Resume: 

• Product Expertise (Hard Skills)
• Subject Matter Expertise (Hard Skills)
• Solution Architecture (Hard Skills)
• Architectural Conversations (Soft Skills)
• Adaptability (Soft Skills)
• Customer Communication (Soft Skills)
• Client Management (Soft Skills)
• Feedback and Collaboration (Soft Skills)

Job Summary:

• Take ownership of data solutions from design and architecture perspective for projects in pre-sales phase as well as ongoing projects.
• Select and integrate any Big Data tools and frameworks required to provide requested capabilities.
• Design and implement ETL and automated processes.
• Monitor performance and advise of any necessary improvements and changes, budget overrides, or security breaches.
• Manage AWS EMR clusters, Glue Jobs, Athena Tables, S3 data lakes with all included services.
• Work with geographically dispersed teams, embracing Agile and DevOps strategies for themselves and others while driving adoption to enable greater technology and business value.
• Stay current with relevant technology in order to maintain and/or improve functionality for authored and maintained applications.
• Acts as a subject matter expert for systems worked on.
• Actively listen to and work with end users to gather feedback and input, and make suggestions and solutions based on said feedback.
• Partner with stakeholders and technologists to implement/automate/operationalize models into day-to-day business decision-making.
• Maintain a high degree of organization and detail.
• Administer and maintain business-critical AWS and Tableau accounts.

Skills on Resume: 

• Data Architecture and Design (Hard Skills)
• Big Data Tools Integration (Hard Skills)
• ETL and Automation (Hard Skills)
• Performance Monitoring (Hard Skills)
• AWS Management (Hard Skills)
• Agile and DevOps Practices (Soft Skills)
• Continuous Learning (Soft Skills)
• Communication (Soft Skills)