Data Developer

Job not on LinkedIn

đŸ”„ 3 hours ago

đŸ‡șđŸ‡Ÿ Uruguay – Remote

⏰ Full Time

🟡 Mid-level

🟠 Senior

đŸ–„ Software Engineer

đŸ‘» Ghost score 10%

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Logo of Bits In Glass

Bits In Glass

201 - 500 employees

Founded 2002

đŸ’Œ Consulting

📩 Logistics

🏭 Manufacturing

💰 Private equity on 2024-03

Consulting ‱ Logistics ‱ Manufacturing

Bits In Glass is a global boutique consulting firm that designs, builds, and manages intelligent automation and integration solutions for enterprise clients. The company specializes in enterprise AI and data engineering, low-code/no-code development, process automation (including RPA and BPA), enterprise application integration, CRM implementations, and application management services, working with partners like Appian, AWS, UiPath, MuleSoft, Snowflake, and Creatio. Bits In Glass serves industries such as banking and financial services, insurance, transportation and logistics, manufacturing and distribution, real estate, healthcare, and the public sector, helping organizations scale automation, improve efficiency, and turn data into actionable insights.

📋 Description

‱ Lead client discovery on source systems, data structures, field mappings, business rules, and integration requirements ‱ Design and run end-to-end migrations into Creatio, including staging, transformation, validation, loading, sequencing, and cutover ‱ Map entities, keys, dependencies, and parent-child relationships across source and target systems ‱ Build and support synchronization between databases, applications, and CRM platforms, including full and incremental loads, upserts, change tracking, conflict handling, and rollback ‱ Cleanse, normalize, deduplicate, enrich, and reconcile data ‱ Validate data completeness and accuracy after each load ‱ Document mappings, transformation rules, assumptions, and validation criteria ‱ Troubleshoot issues across database, integration, and application layers ‱ Own work from analysis through development, testing, validation, and post-deployment support ‱ Collaborate with customers, analysts, developers, and QA while also working independently

🎯 Requirements

‱ A bachelor's degree or equivalent practical experience ‱ Experience in data migration, data integration, database development, or data engineering ‱ Creatio experience, including its data model, core entities, and integration patterns, strongly preferred ‱ Salesforce, Microsoft Dynamics, HubSpot, or similar CRM experience highly valued ‱ Experience with CRM entities and source systems including accounts, contacts, leads, opportunities, products, activities, cases, MS Dynamics, Business Central, and spreadsheets ‱ Strong relational database and data modeling knowledge ‱ Hands-on MS SQL Server and PostgreSQL experience ‱ Advanced SQL querying, including joins, subqueries, CTEs, aggregations, and validation queries ‱ Experience with database objects including views, stored procedures, functions, indexes, and triggers ‱ ETL/ELT pipelines and SSIS packages ‱ REST APIs, OData, and common integration patterns ‱ Strong JSON skills and familiarity with CSV, XML, spreadsheets, and flat files ‱ Git or Bitbucket and Agile delivery using Jira ‱ Secure handling of sensitive business data ‱ Clear communication with technical and non-technical stakeholders ‱ Confidence in client-facing discussions about architecture, scope, risks, and synchronization approach ‱ Willingness to ask clarifying questions and challenge unclear assumptions ‱ Proactive problem-solving and strong attention to detail ‱ Ability to learn and adapt quickly to new tools and environments ‱ Python for data processing, validation, reconciliation, and automation ‱ Familiarity with Microsoft Fabric, data lakes, and medallion architecture (Bronze, Silver, Gold) ‱ C# for integration services, backend utilities, and migration tools (nice to have) ‱ Ability to build reusable scripts that improve consistency and reduce manual effort (nice to have) ‱ Practical use of AI for mapping analysis, SQL drafting, transformation review, reconciliation, and documentation, with careful validation of outputs (nice to have)

đŸ–ïž Benefits

‱ Supportive, driven, collaborative team culture ‱ Great Place to Work recognition ‱ Opportunities to deepen expertise and grow skills ‱ Meaningful work solving real-world business challenges ‱ Full-time employment

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