American Express is looking for a Data Engineer with a strong background and practical experience on architecting, designing, and developing enterprise-grade database solutions for application developers utilizing Agile and DevOps methodology.
Location : Bangalore
Work Location Options: Hybrid
Key Responsibilities for Data Engineer:
- Work closely with Product & Development teams to define, analyse and capture business needs
- Documents data requirements and maintains data models to ensure seamless integration into existing data architectures
- Manages data assets as per the enterprise standards, guidelines and policies
- Documents processing requirements inclusive of data and transaction volumes, scalability, security and performance requirements
- Creates and maintains detailed information about the data being stored in the database
- Understands the database requirements and translate into physical database design.
- Follows data placement procedures and re-use of existing databases when possible
- Builds and enhances database design and infrastructure required to support the Business portfolio
- Performs database design review and supports database testing
- Provides production environment support for database systems and processes
- Communicates and works collaboratively with business and product teams to support changes and implementation
- Work on assigned database features for ongoing sprints and manage database requirements based on industry trends, new technologies, known defects, and issues
- Partner with delivery architects and engineers to design optional data tier solutions to meet platform objectives and goals
- Function as an active member in an agile team through consistent development practices (tools, components, and documentation)
- Identify opportunities to adopt innovative technologies
Education & Technology core competencies
- Bachelor’s Degree in computer science, computer engineering, or related field required, advanced degree preferred for Data engineer
- 6+ years of database development experience in a professional environment and/or comparable experience.
- Hands-on experience handling database development activities using NoSQL Databases such as Couchbase, Cassandra, MongoDB databases as well as Relational Databases like PostgreSQL, Oracle, SQLServer covering activities including capacity planning, schema design & implementation, backup and recovery, performance tuning etc
- Monitor the performance and health of the DB servers and troubleshoot DB system failures.
- Good to have experience in Automation using any programming language and/or Ansible for Infrastructure use cases like Upgrade , Patching etc
- Practical experience with Data Architecture to translate business data requirements into data models (Conceptual, logical, physical) and using data modeling tools.
- Extensive experience in Linux based DB performance monitoring by using system tools, security setup, troubleshooting and performance tuning as necessary to ensure optimum performance, patching of Linux based DB servers on regular schedule
- Experience in one of the public cloud platforms like AWS, GCP, and Azure preferred.
- Supporting and maintaining the logging, messaging, automation tools like Splunk, Grafana, Jenkins
- Eager to learn new technologies in short time span.
- Experience in change management, Incident management, RFC, Problem management & RCA
