Senior Data Engineer

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    "datePosted": "2025-07-31",
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    "description": "<p><span style=\"font-weight: bold\">We are looking for</span> highly experienced Senior Data Engineers to help deliver a robust and scalable data architecture across global ERP systems.</p>\n<p><br></p>\n<p>This role is ideal for someone passionate about building end-to-end pipelines, enabling AI/BI solutions, and thriving in fast-paced, high-stakes environments.</p>\n<p><br>You will contribute to the acceleration of global data transformation initiatives, ensuring modern, enterprise-ready data ecosystems.</p>\n<p><br></p>\n<p><span style=\"font-size: 14pt\"><span style=\"font-weight: bold\">Key Responsibilities</span></span></p>\n<p><span style=\"font-size: 12pt\"><span style=\"font-weight: bold\">Data Integration &amp; Pipeline Development</span></span></p>\n<ul>\n<li><span style=\"font-size: 12pt\">Design, build, and maintain scalable ETL/ELT pipelines from diverse ERP sources into centralized Data Lakes and Warehouses.</span></li>\n<li><span style=\"font-size: 12pt\">Develop connectors for structured and semi-structured data using Python, SQL, APIs, or middleware solutions.</span></li>\n</ul>\n<p><span style=\"font-size: 12pt\"><span style=\"font-weight: bold\">Data Lake &amp; Warehouse Engineering</span></span></p>\n<ul>\n<li><span style=\"font-size: 12pt\">Implement bronze, silver, and gold layers for ingestion, cleaning, and curated datasets.</span></li>\n<li><span style=\"font-size: 12pt\">Organize data structures for optimized use in BI and AI systems.</span></li>\n</ul>\n<p><span style=\"font-size: 12pt\"><span style=\"font-weight: bold\">Data Standardization &amp; Cleansing</span></span></p>\n<ul>\n<li><span style=\"font-size: 12pt\">Align global units of measure (lbs, kg, packaging, linear feet) across products and regions.</span></li>\n<li><span style=\"font-size: 12pt\">Execute data deduplication, enrichment, and harmonization from disparate systems.</span></li>\n</ul>\n<p><span style=\"font-size: 12pt\"><span style=\"font-weight: bold\">Architectural Collaboration</span></span></p>\n<ul>\n<li><span style=\"font-size: 12pt\">Collaborate closely with Data Architecture leadership on schema definitions, partitioning strategies, and infrastructure design.</span></li>\n<li><span style=\"font-size: 12pt\">Set up and maintain sandbox/staging environments for safe testing.</span></li>\n</ul>\n<p><span style=\"font-size: 12pt\"><span style=\"font-weight: bold\">Power BI &amp; AI Enablement</span></span></p>\n<ul>\n<li><span style=\"font-size: 12pt\">Provide ready-to-use, clean datasets to support BI dashboards and AI/ML use cases.</span></li>\n</ul>\n<p><span style=\"font-size: 12pt\"><span style=\"font-weight: bold\">Documentation &amp; Governance</span></span></p>\n<ul>\n<li><span style=\"font-size: 12pt\">Document pipeline architectures, data transformation logic, and integration points.</span></li>\n<li><span style=\"font-size: 12pt\">Ensure adherence to data governance policies and support metadata management.</span></li>\n</ul>\n<p><span style=\"font-size: 12pt\"><br></span></p>\n<p><span style=\"font-size: 12pt\"><br></span></p>\n<p><span style=\"font-size: 14pt\"><span style=\"font-weight: bold\">Requirements</span></span></p>\n<p><span style=\"font-size: 12pt\"><span style=\"font-weight: bold\">Technical Requirements</span></span></p>\n<ul>\n<li><span style=\"font-size: 12pt\">7+ years of experience in enterprise-scale data engineering.</span></li>\n<li><span style=\"font-size: 12pt\">Strong proficiency in:</span>\n<ul>\n<li><span style=\"font-size: 12pt\">SQL (Advanced) and Python for data processing</span></li>\n<li><span style=\"font-size: 12pt\">Spark or Databricks for distributed data workflows</span></li>\n<li><span style=\"font-size: 12pt\">Cloud platforms such as Azure Data Lake/Blob, Synapse, or equivalents</span></li>\n<li><span style=\"font-size: 12pt\">ETL orchestration tools like Azure Data Factory (ADF), Airflow, or dbt</span></li>\n<li><span style=\"font-size: 12pt\">API integrations and data ingestion from ERP systems (NetSuite, QuickBooks, Salesforce, RF Smart, etc.)</span></li>\n</ul>\n</li>\n<li><span style=\"font-size: 12pt\">Demonstrated experience with:</span>\n<ul>\n<li><span style=\"font-size: 12pt\">Master data frameworks, unit conversion, and ERP-to-warehouse mapping</span></li>\n<li><span style=\"font-size: 12pt\">Handling structured and unstructured data</span></li>\n<li><span style=\"font-size: 12pt\">Data modeling best practices (star schema, snowflake schema)</span></li>\n</ul>\n</li>\n</ul>\n<p><span style=\"font-size: 12pt\"><span style=\"font-weight: bold\">Soft Skills &amp; Work Commitment</span></span></p>\n<ul>\n<li><span style=\"font-size: 12pt\">Fluent English (C1 level) – required for daily client calls and clear technical documentation.</span></li>\n<li><span style=\"font-size: 12pt\">Strong interpersonal and collaboration skills to work with cross-functional teams (BI, QA, DevOps, Business Analysts).</span></li>\n</ul>\n<p><span style=\"font-size: 12pt\"><span style=\"font-weight: bold\">Nice to Have</span></span></p>\n<ul>\n<li><span style=\"font-size: 12pt\">Experience standardizing data across global manufacturing or supply chain environments.</span></li>\n<li><span style=\"font-size: 12pt\">Familiarity with Power BI datasets, alert triggers, and integration with messaging/email tools.</span></li>\n<li><span style=\"font-size: 12pt\">Exposure to AI/ML pipelines, including data preparation for machine learning or anomaly detection.</span></li>\n</ul>",
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