Job Summary:

• Develop data pipelines that are scalable and high volume across the enterprise
• Build serverless architecture and warehousing solutions
• Collaborate with stakeholders to implement cutting-edge technology technologies
• Foster a DevOps mindset in code reviews and processes
• Identify potential issues and foster proactive problem-solving
• Implementing ETL process
• Maintaining and evolving a lambda architecture
• Continuous learning and use of ground-breaking technologies
• Apply advanced troubleshooting techniques
• Work as a part of a Scrum team
• Coding skill with Java (Scala is a plus)
• Building stream-processing systems, using solutions such as Spark-Streaming or Apache Beam

Skills on Resume:

• Pipeline Development (Hard Skills)
• Data Warehousing (Hard Skills)
• Stakeholder Collaboration (Soft Skills)
• DevOps Practices (Hard Skills)
• Proactive Problem-Solving (Soft Skills)
• Lambda Architecture (Hard Skills)
• Continuous Learning and Innovation (Soft Skills)
• Programming and System Design (Hard Skills)

Job Summary:

• Participating in agile development projects for Retail Finance and Risk application data sourcing strategy and implementation.
• Leveraging new and emerging practices for Enterprise Data Architecture.
• Engage in enterprise-level systems component design and implementation.
• Systems integration, including design and development of APIs, Adapters, and Connectors.
• Integration with Hadoop/HDFS, Real-Time Systems, Data Warehouses, and Analytics solutions.
• Write and maintain reference architectures and systems design 'best practices' guidelines.
• Working with businesses and peers to define, estimate, and deliver functionality.
• Lead up, design, and deliver major platform components
• Advanced knowledge of application, data and infrastructure architecture disciplines
• Understanding of architecture and design across all systems
• Working proficiency in developmental toolsets
• Ability to collaborate with high-performing teams and individuals throughout the firm to accomplish common goals

Skills on Resume: 

• Agile Project Management (Soft Skills)
• Enterprise Data Architecture Knowledge (Hard Skills)
• Integration Skills (Hard Skills)
• Analytics Proficiency (Hard Skills)
• Architectural Documentation (Hard Skills)
• Leadership Abilities (Soft Skills)
• Technical Proficiency (Hard Skills)
• Communication  (Soft Skills)

Job Summary:

• Responsible for design, development, and testing of application software
• Works in an Agile environment with a mix of onshore and offshore resources
• Responsible for effectively implementing the CI/CD for the applications
• Responsible for troubleshooting production issues and bringing about quick resolutions
• Installs and configures systems and other software
• Effectively collaborates with team members and business units and acts as a SME and mentor as needed
• Identifies and resolves business systems issues
• Measures effectiveness and efficiency of existing systems
• Monitors and tests system performance
• Performs work with some independence of thought, but refers more complex problems to senior associates or supervisor/manager
• Design and develop large-scale, high-volume, high-performance and secure data processing pipelines with large sets of data from different sources.
• Integrate big data tools and frameworks to provide capabilities required by business functions, while keeping in mind of cost optimizations.

Skills on Resume: 

• Software Development Proficiency (Hard Skills)
• CI/CD Expertise (Hard Skills)
• System Installation and Configuration (Hard Skills)
• Problem Solving (Hard Skills)
• Data Pipeline Architecture (Hard Skills)
• Communication (Soft Skills)
• Business and System Analysis (Hard Skills)
• Performance Monitoring (Hard Skills)

Job Summary:

• Access multiple sources and engineer datasets used for machine learning and real-time analytics to assist network automation and orchestration functions. 
• Drive initiatives that ensure optimal network operation under various usage patterns and network slice instances.
• Analyze, recommend, and implement solutions for large-scale distributed analytics and visualization frameworks used by both internal and external clients. 
• Define the frequency, format, cleansing and streaming requirements for datasets publishing.
• Automate multi-channel data pipelines for AI model development and production systems using DevOps – CI/CD process.
• Using Gitlab for LCM, develop, integrate and test code and complete applications along with associated documentation from proof of concept to production readiness
• Working in Hadoop, Hive, & Data Clusters.
• Applying statistical analysis to datasets to solve business problems.
• Apply big data technologies such as AWS S3, VMWare, GCP, Azure, Spark, Hadoop, HDFS, Druid, Kafka, Scala, Python, Java, Spark SQL, PostgreSQL, NoSQL, Oracle, Jenkins, 
• Eclipse to solve operational problems like PaaS/NFVI, RAN, Core
• Transport network capacity planning, performance optimization, and lifetime user experience management.

Skills on Resume: 

• Data Engineering and Management (Hard Skills)
• Machine Learning and Analytics (Hard Skills)
• Network Automation and Orchestration (Hard Skills)
• Big Data Technologies (Hard Skills)
• Statistical Analysis (Hard Skills)
• Software Development (Hard Skills)
• Problem Solving (Hard Skills)