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 Other Languages English: C2 Proficient Seniority Senior
