FREE ACCESS
5,000–10,000 jobs/day
See all jobs on JobTailor
Search thousands of fresh jobs every day.
Discover
- Fresh listings
- Fast filters
- No subscription required
Create a free account and start exploring right away.
Senior Data Engineer
American Express. As a Sr. Big Data Engineer, you'll be responsible for designing and building high performance, and scalable data platforms . You will be leading team of multiple very enthusiastic and skilled engineers to drive the
Core Competencies
Role fitCore Competencies
Use this summary to align your resume positioning with the role.
Demonstrates expertise in designing and building scalable data platforms using GCP services, with strong capabilities in data warehousing, ETL processes, and API development. Proven leadership in driving product development and collaboration across diverse teams to achieve engineering excellence.
Highest-signal resume keywords
GCP Services ExpertiseData Warehousing with BigQueryJava/Python/Scala CodingETL Tool DevelopmentAgile/SAFe Framework Experience
ATS Keywords
Tailor your resumeApplicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard Skills
GCP ServicesBigQueryJavaPythonScalaSQLRDBMSNoSQLSparkAPI Development
Soft Skills
Excellent CommunicationAnalytical SkillsTeam Player
Tools & Technologies
GitJenkinsJiraConfluenceSplunkXLR
Certifications & Qualifications
GCP Professional CertificationData EngineerCloud Architect
Industry Keywords
Big DataData IntegrationDimensional ModellingDevOpsCICD PipelinesGenerative AILLMsPrompt Engineering
Tech Stack
Tools & technologiesBigQueryCloudETLGoogle Cloud PlatformJavaJenkinsMySQLNoSQLPostgresPythonRDBMSScalaSparkSplunkSpringSpring BootSpringBootSQL
About the role
Key responsibilities & impact- As a Sr. Big Data Engineer, you'll be responsible for designing and building high performance, and scalable data platforms
- You will be leading team of multiple very enthusiastic and skilled engineers to drive the product development and adoption
- You will be required to effectively collaborate with product teams from business group and understand the product roadmap and vision and translate that into engineering artefacts
- You will work with a variety of teams and individuals, including platform engineers, usecase owners, analytical users to understand their needs and come up with innovative solutions
- You will follow the Amex-way of building engineering products that leads to engineering excellence by adopting DevOps principals
Requirements
What you’ll need- Bachelor's degree in computer science, Engineering, or a related field. Master's degree would be a plus
- Great to have:- GCP professional certification - Data Engineer/Cloud Architect will be preferable
- Strong hands-on experience with GCP services (Big Query, Dataflow, Dataproc, Pub/Sub, Cloud Storage, Composer, etc.).
- Expert in Google BigQuery tool for data warehousing needs
- 6+ years of software development experience with hands-on expertise in coding in Java/Python/Scala etc
- 3+ years of experience in creating low code/no code ETL tool for setting up large scale data transformation on GCP Cloud
- Strong SQL, RDBMS skills. Expert in writing complex SQLs for different databases such as Hive , MySQL , Postgres etc. Proficiency in working with NoSQL databases as well
- Experience working with Spark , Big Data and Hive
- Experience in Git Management including PR reviews, maintaining code hygiene
- In-depth understanding of data warehousing concepts, dimensional modelling, and data integration techniques
- Experience in optimising high volume data processing jobs.
- 3+ years experience in writing APIs and spring boot services.
- Knowledge of High availability and DR setup.
- Hands-on experience on CICD pipelines, Automated test frameworks, DevOps and source code management will be a big plus (XLR, Jenkins, Git, Stash, Jira, Confluence, Splunk etc.)
- Experience working in Agile/SAFe framework for development
- Understanding of Generative AI concepts, including LLMs (Large Language Models), prompt engineering, embeddings, and vector databases.
- Experience integrating GenAI capabilities into data platforms (e.g., semantic search, AI-driven analytics, automated data insights).
- Excellent communication and analytical skills
- Excellent team-player with ability to work with global team
Benefits
Comp & perks- 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