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