Senior Data Engineer
Project description
Engineer responsible for developing ingestion and transformation pipelines to populate the reconciliation staging area and support downstream integration with FIS Matching.
Responsibilities
- Strong hands-on experience as a Senior Data Engineer in cloud environments, primarily AWS.
- Solid proficiency with SQL and relational and analytical database platforms.
- Proven experience designing and building ETL / ELT data pipelines
- Experience integrating legacy systems with modern SaaS or cloud-based platforms
- Practical experience with cloud data warehouses or lake-style platforms (e.g. Snowflake or equivalent)
- Working knowledge of data lake / lakehouse concepts
- Experience with job scheduling and pipeline orchestration tools (e.g. Airflow, Step Functions or similar)
- Experience implementing data security, encryption, privacy controls and governance practices
- Strong software engineering discipline, including GitHub usage (branching, pull requests, code reviews)
SKILLS
Must have
- 5+ years of experience.
- AWS / ETL / Redshift / SnowFlake
- Iceberg tables & data lakehouse concepts
- Catalog/schema management
- Job scheduling / pipeline orchestration tools
- Data encryption, privacy, governance frameworks
- GitHub usage (branches, PRs, code review).
- Knowledge of Kinesis, Aurora, Athena,DMS, DataSync
Nice to have
• Familiarity with Apache Iceberg or similar modern table formats • Exposure to data catalogue and schema management tooling • Awareness of AWS data services such as Kinesis, Aurora, Athena, DMS and DataSync • Experience working in environments where technology choices are evolving, rather than fixed • Broader awareness of modern data platform architectures, even where tools are not used day to day
