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American Express

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4.2

based on 3.1k Reviews

Video summary

Proud winner of ABECA 2024 - AmbitionBox Employee Choice Awards

Top Rated Large Company - 2024

Top Rated Company for Women - 2024

Top Rated Financial Services Company - 2024

1 American Express Senior Data Engineer Job

Senior Data Engineer II

American Express Company

4.2

based on 3.1k Reviews

8-9 years

Bangalore / Bengaluru

1 vacancy

Senior Data Engineer II

American Express

posted 1hr ago

Job Role Insights

Flexible timing

Key skills for the job

Medical Coding Finance SQL Procurement Change Management CCTV Monitoring

+ 4 more

Job Description

How will you make an impact in this role
The successful candidate for this role will be responsible for developing and implementing cutting-edge data and AI solutions supporting data platform, analytics and reporting needs of the portfolio. You will collaborate with cross-functional teams to design, develop, and deploy highly scalable and fault tolerant data intensive AI applications that drive innovation and enhance efficiency in customer servicing space. We are seeking a highly skilled and experienced Senior Data Engineer with expertise in GCP, Data platforms, Big Data, Python and advanced analytics to join our team.

Responsibilities:

Serve as a technology leader to multiple agile teams building data solutions
Provide thought leadership, engineering expertise and direction to the engineering teams; 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 for data processing.
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.
Genesys Application Knowledge: Work with Genesys databases
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.
Apply Development Best Practices: Implement best practices in code review and change management, including proficient use of GIT for version control.
Working in Agile Environments: Experience with Agile methodologies and practices.
Problem-Solving and Troubleshooting: Strong analytical skills to solve problems and troubleshoot issues.
Work closely with product managers and stakeholders to understand business requirements and translate them into technical solutions.
Conduct code reviews and provide technical guidance and mentorship to junior team members.
Participate in cross-functional team meetings, brainstorming sessions, and knowledge sharing activities to foster innovation and continuous improvement.

Qualifications Skills:

Engineering Degree with 8+ years of experience
Proficient in SQL and Unix Shell Scripting: Skilled in SQL and Unix shell scripting.
Proficient in Programming Languages: Proficiency in programming languages such as Python.
Big Data Platform Proficiency: Skilled in working with Big Data platforms and Big Data lakes, Big Queries
Cloud Knowledge: Proficient in cloud computing technologies.
ETL and Data Pipeline Skills: Proficient in ETL (Extract, Transform, Load) processes and tools and data modelling.
Basic AI/ML Skills: Fundamental understanding of AI/ML applications in data engineering.
Banking Data Knowledge: Familiarity with banking data structures and requirements.
Ability to create scalable, reliable, and efficient solutions that meet business requirements.
Genesys Application and Database Knowledge: Experience with Genesys applications and understanding of the data aspects of Genesys databases.
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.
Debugging Proficiency: Skilled in identifying and resolving software and system issues.
Testing and Troubleshooting: Ability to test, troubleshoot, and debug data processes.
American Express Experience Preferred: Prior experience with American Express systems is an advantage.
Effective Communication: Excellent verbal and written communication skills.
Collaborative Work Ethic: Ability to work effectively in team environments.
Continuous Learning: Commitment to staying updated with industry trends.
Leadership and communication: lead teams and collaborate with stakeholders, so strong leadership and communication skills are essential.
Ability to effectively communicate technical concepts to both technical and non-technical audiences.
Should have excellent problem-solving and analytical skills.

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

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What Senior Data Engineer at American Express are saying

4.3

Rating based on 2 Senior Data Engineer reviews

Anonymous · Finance & Accounting in Gurgaon / Gurugram

Likes

This company is certainly for people who wants work life balance and have no aspirations to grow or learn in their career. Even TCS/Infosys is better than this company in terms of learning. No tech initiatives , no challenging work . Just pure politics of promoting less talented people because they’ll never leave.