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American Express
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180 American Express Jobs
Data Engineer I
American Express
posted 3+ weeks ago
Job Role Insights
Flexible timing
Key skills for the job
Job Description
As part of our diverse tech team, you can architect, code and ship software that makes us an essential part of our customers digital lives. Here, you can work alongside talented engineers in an open, supportive, inclusive environment where your voice is valued, and you make your own decisions on what tech to use to solve challenging problems. Amex offers a range of opportunities to work with the latest technologies and encourages you to back the broader engineering community through open source. And because we understand the importance of keeping your skill fresh and relevant, we give you dedicated time to invest in your professional development.
How will you make an impact in this role?
The Infrastructure Data & Analytics team unifies FinOps, Data Science and Business Intelligence to enable Technology cost transparency, infrastructure performance optimization and commercial efficiency for the enterprise through consistent, high-quality data and predictive analytics. This team within Global Infrastructure aims to establish and reinforce a culture of effective metrics, data-driven business processes, architecture simplification, and cost awareness. Metric-driven cost optimization, workload-specific forecasting and robust contract management are among the tools and practices required to drive accountability for delivering business solutions that derive maximum value. The result will provide a solid foundation for decision-making around cost, quality and speed.
We are seeking an experienced Data Engineer for our team who can design, develop and enhance of our data model and architecture. This team sets the foundation for how infrastructure utilization, consumption and asset inventory data is ingested, validated, and presented in our suite of reporting capabilities. The Data Engineer will develop and refine processes to ensure data quality (data accuracy, completeness, timeliness, consistency, uniqueness and relevance) is meeting the highest standards for our users . They will support teams in doing data quality testing and validation processes to identify where data pipelines are not fit for purpose or need improvement. This individual will be responsible for implementing our target data architecture, leveraging best practices for data management, automating data feeds and transformations, and maintaining excellent documentation.
Let s build on what you know.
The role will require a unique blend of strong DataOps technical and design skills to translate business decisions into data requirements. This individual will build a deep understanding of the infrastructure data we use in order to work across the ID&A team and key stakeholders the appropriate data to tell a data story. This includes implementing and maintaining a data architecture that follows data management best practices for ensuring data ingestion, transformation, storage and analytics are handled according to their specific purpose using the appropriate tools: ingestion captures raw data without applying business logic, transformation processes data discretely for auditability, and analytical queries retrieve structured outputs without relying on upstream processes. They will be responsible for building and automating data pipelines to maximize data availability and efficiency, as we'll as migrating the data model and transformations to our target architecture. This individual will bring passion for data-driven decisions, enterprise solutions, and collaboration to the role, transforming platform data into actionable insights by utilizing data engineering and data visualization best practices.
Key responsibilities include:
- Data Architecture: Perform all technical aspects of data architecture and database management for ID&A, including developing data pipelines, new database structures and APIs as applicable
- Data Design: Translate logical data architectures into physical data designs, ensuring alignment with data modeling best practices and standards
- Data Process and Monitoring: Ensure proper data ingestion, validation, testing, and monitoring for ID&A data lake
- Data Quality Testing: Develop and provide subject matter expertise on data analysis, testing and Quality Assurance (QA) methodologies and processes
- Support database and data platform administration for initiatives building, enhancing, or maintaining databases, data warehouses and data pipelines
- Data Migration: Design and support migration to a technology-agnostic data model that decouples data architecture from specific tools or platform used for storage, processing, or access
- Data Integrity: Ensure accuracy, completeness, and data quality, independent of upstream or downstream systems; collaborate with data owners to validate and refine data sources where applicable
- Agile Methodologies: Function as a senior member of an agile feature team and manage data assets as per the enterprise standards, guidelines and policies
- Collaboration: Partner closely with business intelligence team to capture and define data requirements for new and enhanced data visualizations
- Prioritization: Work with product teams to prioritize new features for ongoing sprints and manage backlog
- Continuous Improvement: Monitor performance and make recommendations for areas of opportunity/improvement for automation and tool usage
- Compliance: Understand and abide by SDLC standards and policies
- Liaison: Act as point of contact for data-related inquiries and data access requests
- Innovation: Leverage the evolving technical landscape as needed, including AI, Big Data, Machine Learning and other technologies to deliver meaningful business insights
Minimum Requirements:
- 4+ years of DataOps engineering experience in implementing pipeline orchestration, data quality monitoring, governance, security processes, and self-service data access
- Experience managing databases, ETL/ELT pipelines, data lake architectures, and real-time processing
- Proficiency in API development and stream processing frameworks
- Hands-on coding experience in Python
- Hands-on expertise with design and development across one or more database management systems (e.g. SQL Server, PostgreSQL, Oracle)
- Testing and Troubleshooting: Ability to test, troubleshoot, and debug data processes
- Strong analytical skills with a proven ability to understand and document business data requirements in complete, accurate, extensible and flexible logical data models, data visualization tools (e.g. Apptio BI, PowerBI)
- A bility to write efficient SQL queries to extract and manipulate data from relational databases, data warehouses and batch processing systems
- Experience in data quality and QA testing methodologies
- Fluent in data risk, management, and compliance terminology and best practices
- Proven track record for managing large, complex ecosystems with multiple stakeholders
- Self-starter who is able to problem-solve effectively, organize and document processes, and prioritize feature with limited guidance
- An enterprise mindset that connects the dots across various requirements and the broader operations/infrastructure data architecture landscape
- Excellent collaboration skills; ability to drive consensus and tangible outcomes, demonstrated by breaking down silos and fostering cross-team communication
- Understanding of complex software delivery including build, test, deployment, and operations; conversant in AI, Data Science, and Business Intelligence concepts and technology stack
- Exposure to distributed (multi-tiered) systems, algorithms, IT asset management, cloud services, and relational databases
- Foundational Public Cloud (AWS, Google, Microsoft) certification; advanced Public Cloud certifications a plus
- Experience working in technology business management, technology infrastructure or data visualization teams a plus
- Experience with design and coding across multiple platforms and languages a plus
- Bachelor s Degree in computer science, computer science engineering, data engineering, or related field required; advanced degree preferred
We back you with benefits that support your holistic we'll-being so you can be and deliver your best. This means caring for you and your loved ones physical, financial, and mental health, as we'll as providing the flexibility you need to thrive personally and professionally:
- Competitive base salaries
- Bonus incentives
- Support for financial-we'll-being and retirement
- Comprehensive medical, dental, vision, life insurance, and disability benefits (depending on location)
- Flexible working model with hybrid, onsite or virtual arrangements depending on role and business need
- Generous paid parental leave policies (depending on your location)
- Free access to global on-site we'llness centers staffed with nurses and doctors (depending on location)
- Free and confidential counseling support through our Healthy Minds program
- Career development and training opportunities
Employment Type: Full Time, Permanent
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What people at American Express are saying
Rating based on 4 Data Engineer 1
reviews
Anonymous · Engineering - Software & QA
in Bangalore / Bengaluru
Likes
One of best companies you can dream to work for .
- Salary - Good
+6 more
Dislikes
Salary can go a bit above standards
Data Engineer 1 salary at American Express
reported by
9
employees
with 3-12
years exp.
₹25
L/yr - ₹40
L/yr
235%
more
than the average Data Engineer 1 Salary in India
View more details
What American Express employees are saying about work life
based on 3.4k employees
Flexible timing
Monday to Friday
No travel
Day Shift
American Express Benefits
Submitted by Company
Culture Total Rewards & Well-Being Career Growth & Development
Submitted by Employees
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