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211 American Express Jobs
Data Engineer II
American Express
posted 9hr ago
Job Role Insights
Flexible timing
Key skills for the job
Job Description
- As part of Global Servicing Group Technology, we develop data engineering pipelines to deliver the GSG business strategic metrics, Credit / Servicing colleague performance and operational metrics
- While consuming data from variety of source systems within AMEX, we clean and transform it to apply business logic in our bigdata ETL/ELT pipelines
- Deploying Machine learning concepts to generate satisfaction score of the customer-CCP interactions and preparing data for VOCM (Voice of Customer surveys) is the other vertical of customer listening that we host within our group
- This team is on path of migrating our data engineering from enterprise cloud data warehouse (Cornerstone) to google cloud-based LUMI platform
- Also, the vision is to enable DaaS (Data-as-a-Service) to all our enterprise data consumers based on their GSG consumer personas of Servicing, Fraud, Credit and Collections etc
Roles & Responsibilities:-
- Be versatile and be able to collaborate with business stakeholders, product teams and cross functional technology groups to drive continuous delivery
- Data Process Design and Coding: Design, code, and document data processes for broad-scale data access.
- Maintain Data Integrity: Develop validation and monitoring processes for data compilations.
- Efficient Data Source Development: Collaborate with teams to design resilient data sources for business needs.
- Data Integration into Products: Incorporate data sources into user-facing features.
- Cloud Technology Utilization: Leverage cloud platforms for data engineering solutions.
- Utilize Big Data Technologies: Employ technologies like PySpark and Spark, Scala, Hive, SQL for data processing.
- API Design and Management: Develop and maintain APIs for data access and manipulation.
- ETL and Data Pipeline Development: Proficient in ETL (Extract, Transform, Load) processes, tools, and developing data pipelines.
- CI/CD Implementation: Implement and manage Continuous Integration and Continuous Deployment (CI/CD) processes.
- Data Center Process Optimization: Optimize data processes across data centers.
- Data Governance Collaboration: Work with governance teams on data definition and mapping issues.
- Banking Data Expertise: Utilize knowledge of banking data for relevant data engineering tasks.
- Reporting Tools Expertise: Develop reports using various reporting tools like Tableau/PowerBI etc
- Production Support Coordination: Coordinate and support data engineering solutions in a production environment.
- Degree in Computer Science with 3+ years of experience in Big Data Platform Proficiency: Skilled in working with Big Data platforms (Hadoop, Kafka, PySpark, Hive) and Big Data lakes.
- Proficient in tools and systems for data analysis/big data are written in Java ( Hadoop , Apache Hive) and Scala (Kafka, Apache Spark).
- Proficient in SQL and Unix Shell Scripting: Skilled in SQL and Unix shell scripting.
- Experience in developing, hosting solutions on Google Cloud Platform- Google Cloud Storage, BigQuery and Vertex AI and leveraging GCP services for specific feature implementations.
- Cloud Knowledge: Proficient in cloud computing technologies.
- Proficient in Programming Languages: Proficiency in programming languages such as Python, Java, Scala, and others.
- ETL and Data Pipeline Skills: Proficient in ETL (Extract, Transform, Load) processes and tools and data modelling.
- Good knowledge and hands on experience in RDBMS and NoSQL databases such as Oracle, MSSQL, PostgreSQL, MongoDB, Cassandra
- Basic AI/ML Skills: Fundamental understanding of AI/ML applications in data engineering. (ML Frameworks, TensorFlow, PyTorch, mlpack)
- Banking Data Knowledge: Familiarity with banking data structures and requirements.
- Data Security and PII Awareness: Knowledge of data security practices and regulations, focusing on securely handling Personally Identifiable Information (PII).
- Application Design with Security Focus: Experience in designing applications with emphasis on server procurement, installation, and integrating security aspects like encryption.
- Application Architecture Knowledge: Expertise in designing and structuring applications using React / Java or any other modernized framework.
Benefits include:
- Competitive base salaries
- Bonus incentives
- Support for financial-well-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 wellness 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
Read full job descriptionPrepare for Data Engineer II roles with real interview advice
What people at American Express are saying
Data Engineer II salary at American Express
reported by
5
employees
with 2-9
years exp.
₹20.8
L/yr - ₹22.5
L/yr
12%
less
than the average Data Engineer II Salary in India
View more details
What American Express employees are saying about work life
based on 3k employees
Flexible timing
Monday to Friday
No travel
Day Shift
American Express Benefits
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American Express Gurgaon / Gurugram Office Location
Gurgaon Office
Headquarter
American Express Banking Corp., Cyber City, Tower-C, DLF Bldg. No.8, Sector-25, DLF City Phase-II
Gurgaon
Haryana 122002
Haryana 122002
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