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Big Data Engineer
2 months ago
We are seeking a highly skilled Big Data Engineer to join our team at American Express. As a key member of our engineering team, you will be responsible for designing, developing, and maintaining our Big Data Platform, Cornerstone. This is a unique opportunity to work with cutting-edge technologies and contribute to the success of our company.
Key Responsibilities- Design and develop software and systems that meet the needs of customer-facing applications, business applications, and/or internal end user applications.
- Participate in code reviews and automated testing.
- Debug basic software components and identify code defects for remediation.
- Enable the deployment, support, and monitoring of software across test, integration, and production environments.
- Automate deployments in test or production environments.
- Automatically scale applications based on demand projections.
- Architect, design, develop and maintain enterprise capabilities and systems.
- Collaborate with team/s in agile environment on creating, evolving, and maintaining engineering excellence principles related to Code, Code reviews, Testing methodologies (Unit, Integration etc.,) and defect management.
- Developing prototypes applying visualization and other techniques to fast-track concepts.
- Seek continuous improvement by considering solutions that make novel use of existing ideas, approaches, technologies, or products.
- Work with Senior engineers and product owners to deliver new features and enhance existing features.
- Bachelor's Degree in Computer Science, Engineering, Information Systems, or a related STEM field.
- 5+ years of experience with relational database (RDBMS) administration, development, and tuning.
- 3+ years of experience with database support of OLTP and OLAP systems in a large dev and prod environment.
- 3+ years of experience with database development and support of Massive Parallel Processing (MPP) systems, HA and DR.
- 3+ years of experience in analytical and columnar databases and supporting multiple application teams.
- 3+ years of experience in resolving data ingestion issues, performance issues and day-to-day support.
- 3+ years of progressively responsible Infrastructure administration experience, DBMS upgrades and shell scripting.
- 1 year of experience with transforming logical data architectures into physical data designs.
- 1 year of experience with Big Data tools, including Apache, Hadoop, Hive, and Spark distributed framework.
- 1 year of experience with Public cloud platform (GCP, AWS,..) optimization, enabling managed and serverless services.
- Competitive base salaries.
- Bonus incentives.
- 6% Company Match on retirement savings plan.
- Free financial coaching and financial well-being support.
- Comprehensive medical, dental, vision, life insurance, and disability benefits.
- Flexible working model with hybrid, onsite or virtual arrangements depending on role and business need.
- 20+ weeks paid parental leave for all parents, regardless of gender, offered for pregnancy, adoption or surrogacy.
- 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.