Monitoring & Payments Automation Engineer

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) Mandatory Skills Description: • 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