{"@context":"https://schema.org","@type":"JobPosting","title":"Data Engineer","description":"

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.

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