Data Engineer, SQL-focused

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Blend360

WebsiteLinkedInAll Job Openings

501 - 1000 employees

🏥 Healthcare

🏨 Hospitality

✈️ Travel

💰 $100M Private Equity Round on 2022-08

Healthcare • Hospitality • Travel

Blend360 is a professional services company specializing in AI, data analytics, and data-driven solutions. They work with Fortune 1000 and large enterprise brands to tackle significant challenges by integrating people and artificial intelligence. Blend360 focuses on several domains including business intelligence, data engineering, data science, MLOps, and data governance. Their industries of expertise encompass financial services, energy, healthcare and life sciences, retail, technology, media & telecom, and travel & hospitality. Blend360 is recognized for their AI and data solutions, having earned accolades such as "AI-Enabling Solution of the Year" and being listed among the "Top Generative AI Service Providers 2024.

📋 Description

• Analyze existing SQL code, stored procedures, ETL jobs, and data transformations • Trace data through existing pipelines to understand how information moves across the platform • Validate that business rules are correctly implemented in the existing technical solution • Document data flows, transformations, table relationships, and technical dependencies • Collaborate with technical and business stakeholders to validate technical findings and support discovery activities • Review existing data processes to confirm system behavior and identify implementation details • Support technical documentation by explaining how the current data platform operates

🎯 Requirements

• Strong SQL skills, including complex queries, CTEs, window functions, joins, and stored procedures • Experience working with IBM DataStage or similar enterprise ETL tools • Experience analyzing existing ETL processes, data transformations, and relational databases • Understanding of data flows through enterprise data platforms and ETL pipelines • Ability to analyze and understand existing implementations rather than only building new ones • Familiarity with data modeling concepts and table relationships • Strong analytical and problem-solving skills • Ability to collaborate effectively with technical and business stakeholders • Excellent written and verbal English • At least 1 year of experience in data engineering or similar roles • Background in marketing or customer data environments is nice to have • Experience with legacy systems or modernization initiatives is nice to have • Experience creating technical documentation or participating in discovery phases of data projects is nice to have

🏖️ Benefits

• Certifications in AWS, Databricks, and Snowflake • Access to AI learning paths • Study plans, courses, and additional certifications tailored to the role • Access to Udemy Business • English lessons • Travel opportunities to attend industry conferences and meet clients • Career development plans • Mentorship programs • Special day rewards for birthdays, work anniversaries, and other personal milestones • Company-provided equipment • Flexible working options • Other benefits may vary according to location in LATAM