Senior Data Engineer

📋 Description Maintain and enhance ETL pipelines across 123 SSIS jobs spanning 8 data domains Manage data ingestion from diverse sources including S3, Azure Blob, SFTP, APIs, and manual/fragile Investigate, debug, and resolve pipeline failures in a live production environment Develop and improve data transformation logic — understanding not just the how, but the why Implement data quality checks, validation rules, and error handling Monitor pipeline health and contribute to observability improvements 🎯 Requirements Proven experience in ETL pipeline design and maintenance in a production environment Hands-on experience with orchestration tools such as SSIS, Prefect, Airflow, dbt, or Azure Data Strong SQL and Python skills Experience with data ingestion across multiple patterns — cloud storage, SFTP, APIs, and real-world Solid understanding of data transformation logic and data modelling principles Experience with data quality, validation, error handling, and monitoring 🎁 Benefits 100%Remote Work WFH allowance: Monthly payment as financial support for remote working. Career Growth: Career development program with 360º feedback Training: Time allocated for tech training and access to courses Mentoring Program: Mentorship options available Zartis Wellbeing Hub: Access to wellbeing resources