About the role
Requirements:
- Experience: 5-7 years in data engineering, data integration, or implementation/solutions engineering.
- Core Languages: Strong hands-on SQL and a programming language such as Python, with solid experience building production ETL/ELT pipelines.
- Pipeline Tooling: Working experience with data pipeline and orchestration tooling (e. g., Airflow, dbt, Spark, or equivalents).
- Integration Patterns: Practical integration experience across REST APIs, webhooks, and file/SFTP-based feeds; exposure to reverse-ETL patterns.
- ERP Domain Exposure: Experience integrating with at least one major ERP or finance/transactional system (e. g., NetSuite, SAP, Oracle, Microsoft Dynamics, QuickBooks, Zoho, Tally) or with payment/banking data.
- Data Governance: Solid understanding of data quality and validation techniques, and awareness of audit, lineage, and governance practices.
- Communication: Good customer-facing communication skills and comfort owning a defined-scope engagement to completion.