American Express is recruiting candidates for Data Engineer positions In Bengaluru, India. The company is hiring candidates. Please find below the required details such as the eligibility, procedure, and application process.
American Express Recruitment 2024:-
| Company Name: | American Express |
| Role Name: | Data Engineer |
| Salary: | INR 6-12 LPA (Expected) |
| Experience: | Freshers/Experienced |
| Location: | Bangalore, India |
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Responsibilities:-
- Create and build entire Data & Analytics solution in production grade.
- Work & collaborate with Product Management and Digital Workplace teams to influence key decisions on architecture/ solutions and implementation of scalable, reliable, and cost-effective Data & Analytics platform
- Bring thought leadership to advance the overall state of technology and customer focus for the platform
- Enthusiasm for staying up to date with the latest advancements in Cloud (GCP), Data engineering pipeline mainly spark, Data ingestion, Data Management.
- A portfolio showcasing previous Cloud based Data & Analytics projects, contributions to open-source projects, or relevant publications is a plus.
- Build culture of innovation, ownership, accountability, and customer focus
- Contribute to the American Express Data & Analytics Strategy. Working with other Technology teams to drive enterprise solutions, define best practice at a company level and further develop skills and experience outside Digital Workplace.
- Partner with the Digital Workplace technology teams to develop the next generation solution. platform strategy across all products and channels.
- Participate actively and constructively in agile team meetings and application reviews
- Work directly with and learn from the business, product, and engineering leaders across the organization
- Strengthen the collaboration with Industry partners/suppliers for more robust data solutions and market research for innovative solutions in this space.
Eligibility and Qualification:-
- Good to have experience with Big Data technologies (Hadoop framework) and have at least 1 Big data implementation on production grade platforms.
- Good to have experience with Visualization Tools like ElasticSearch, Tableau, Power BI, etc.
- Ability to learn new tools and paradigms in data engineering and science
- Well versed in AGILE, SAFe and Program Management methods
- Bachelor’s degree with a preference for Computer Science, Master’s is a plus.
Preferred Skills:-
- Have extensive knowledge to build production grade Data Pipeline mainly Spark
- Have extensive knowledge of Real time data ingestion, batch data ingestion, data governance and Management, and Data devops
- Mandatory strong experience in scalability, large scale distributed system designs to handle million requests, including reliability engineering, and platform monitoring.
- Expertise in pre-processing and cleaning large datasets as a part of ingesting data, from multiple sources within the enterprise.
- Willingness to learn AI ML pipeline that are used in multilingual conversational systems.
- Take an extra mile to solve real-world scenarios for user commands and requests by identifying the right pipeline strategy, tooling and frameworks.
- Review architecture and provide technical guidance for engineers
- Good to have experience on various data architectures, latest tools, current and future trends in data engineering space especially Big Data, Streaming and Cloud technologies like GCP, AWS, Azure. But GCP knowledge is mandatory
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