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