Amex | Jobs | Data Engineer – NoSQL, Python | BigDataKB.com | 21-02-22

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    Job Location: Bangalore

    You Lead the Way. We’ve Got Your Back.
    At American Express, we know that with the right backing, people and businesses have the power to progress in incredible ways. Whether we’re supporting our customers’ financial confidence to move ahead, taking commerce to new heights, or encouraging people to explore the world, our colleagues are constantly redefining what’s possible — and we’re proud to back each other every step of the way. When you join #TeamAmex, you become part of a diverse community of over 60,000 colleagues, all with a common goal to deliver an exceptional customer experience every day.
    From building next-generation apps and microservices in Kotlin to using AI to help protect our customers from fraud, you could be doing transformational work that brings our iconic, global brand into the future. As a part of our tech team, we could work together to bring ground-breaking and diverse ideas to life that power the digital systems, services, products and platforms that millions of customers around the world depend on. If you love to work with APIs, contribute to open source, or use the latest technologies, we’ll support you with an open environment and learning culture to grow your career.
    You won’t just shape the world of software.
    You’ll shape the world of life, work and play.

    Our Software Engineers not only understand how technology works, but how that technology intersects with the people who count on it every day. Today, innovative ideas, insight and new perspectives are at the core of how we create a more powerful, personal and fulfilling experience for all our customers. So if you’re interested in a career creating breakthrough software and making an impact on an audience of millions, look no further.

    You won’t just keep up, you’ll break new ground.

    Focus:
    Contributes to crafting, developing, debugging, evaluating, modifying, deploying and documenting all data components (data architecture, logical and physical data models, database objects and database administration) that meet the needs of customer-facing applications, business applications, and/or internal end user applications.
    Organizational Context:
    Entry-level hire, member of a data base management or database support team reporting to a Senior Engineer, Engineering Director or Director of Technical Delivery.
    How will you make an impact in this role?
    • Analyzes data requirements / data stories and corresponding data sources and data architecture
    • Documents data requirements / data stories and maintains data models to ensure flawless integration into existing data architectures
    • Runs data assets as per the organization standards, guidelines and policies
    • Reviews and understands the processing requirements inclusive of data and transaction volumes, scalability, security and performance requirements
    • Builds and enhances database design and infrastructure required to support the Business portfolio
    • Assists in performing database design review and supports database testing
    • Provides production environment support for database systems and processes
    • Communicates and works collaboratively with business and product teams to support changes and implementation
    • Write instructions to guide database operators during production runs
    • Work on assigned database features for ongoing sprints and manage database requirements based on industry trends, new technologies, known defects, and issues
    • Function as an active member if an agile team through consistent development practices (tools, components, and documentation)
    • Seek opportunities to adopt innovative technologies
    • Takes part in reviews of own work or with colleagues
    • Work on prioritized/assigned features for ongoing sprints
    Range of Impact/Influence:
    • Accountable for team completing work you’re leading and work you are doing as agreed upon
    • Accountable to team for delivery of quality work
    Education & Experience:
    Up to 4 years of data architecture and database development experience in a professional environment and/or comparable experience such as:
    • Understanding of Agile or other rapid application development methods
    • Exposure to design and development across one or more database management systems (e.g. IMS, DB2 zOS, Oracle, MS SQL Server, PostgreSQL, Netezza (PDA/DB2AA)) as appropriate
    • Exposure to methods relating to application and database design, development and automated testing
    • Understanding of big data technology and NOSQL design and development with variety of data stores (document, column family, graph, etc.)
    • General knowledge of distributed (multi-tiered) systems, algorithms, and relational & non-relational databases
    • Bachelor’s Degree in computer science, computer science engineering, or related field required; advanced degree preferred
    High Performance Behaviors:
    • Recognizes opportunities to adopt innovative technologies to enable business capabilities
    • Able to generate creative ideas and solutions
    • Keeps up to date on current research and technology in the industry • Understands technical aspects of the job
    • Seeks ideas and suggestions from others as appropriate
    • Participates in root cause problem analysis
    • Recognizes the importance of collaboration to achieve objectives
    • Is clear when explaining ideas and concepts to others
    • Handles allocated responsibilities optimally and acts on own initiative without being prompted
    Knowledge/Skills:
    • Able to establish, modify or maintain data structures and associated components according to design
    • Understands Metadata Management and Database Management concepts
    • Understands and documents business data requirements in complete, accurate, extensible and flexible logical data models using data modeling tools – ErStudio, ErWin
    • Creates data models using the relevant tools and frameworks
    • Understands XML/JSON and schema development/reuse, database concepts, database designs, Open Source and NoSQL concepts
    • Partners with Sr. Data Engineers and Sr. Data architects to create platform level data models and database designs
    • Good understanding and Technical knowledge of DBMS products and ecosystem – e.g. storage formats, access algorithms, data management processes, administration, data maintenance, replication, high availability, encryption, etc.”
    • Ability to monitor and tune databases and DBMS’s to reach high performance – e.g. use data monitoring and analysis tools, tune configuration parameters, alter physical designs, benchmark, etc.
    • Takes part in reviews of own work and reviews of colleagues’ work
    • Application of industry recognized methods, processes and standards
    • Has working knowledge of the core tools used in the planning, analyzing, designing, building, testing, configuring and maintaining of assigned application(s)
    • Able to participate in assigned team’s software delivery methodology (Agile, Scrum, Agile XP, Test-Driven Development, Waterfall, etc.) in support of data management and database development
    • Understands infrastructure technologies and components like servers, jvms, databases, and networking concepts

    Technology Skills You’ll Use Every Day:
    • Adaptive Communication
    • Agile Practices
    • Industry and Company Knowledge
    • Organizational Change
    • Technical Acuity
    • Technology Industry Trends
    Game Changers:
    • Flexibility
    • Collaboration & Partnership
    • Continuous Improvement
    • Courage
    • Curiosity
    • Resourcefulness
    • Servant Leadership
    • Tenacity
    Role/Strengths You’ll Need:
    Technical
    • Database Design
    • Emerging Technologies
    • Performance and Tuning
    • System/Platform Domain Knowledge
    Functional
    • Data Analysis
    • Data Management
    • Database Administration
    Leadership
    • Analytical Thinking
    • Consultancy
    • Decision-Making
    Business
    • Problem Solving
    American Express is an equal opportunity employer and makes employment decisions without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, protected veteran status, disability status, age, or any other status protected by law.
    Offer of employment with American Express is conditioned upon the successful completion of a background verification check, subject to applicable laws and regulations.

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