Senior Data Engineer

🕒 July 16

🇦🇷 Argentina – Remote

⏰ Full Time

🟠 Senior

🚰 Data Engineer

👻 Ghost score 54%

What it means: how likely this posting is sitting open without active hiring.How to read it: 60% or higher means we think this is a ghost. Lower scores are less of a worry.How we score it: age, reposts, open roles vs team size, how fast jobs close, and whether pay is listed.Fine print: an estimate from public data, not a judgment of the company. Real jobs can score high, so treat it as a hint, not a fact.

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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

• Develop and implement Snowflake-based governance solutions that ensure data quality, security, and compliance across enterprise platforms. • Build automated privacy processes to streamline data protection workflows and reduce manual intervention. • Support data cleanup initiatives to maintain data integrity and optimize warehouse performance. • Implement data masking and obfuscation techniques to safeguard sensitive information. • Assist with JSON field privacy remediation to ensure compliance with data protection standards. • Collaborate with cross-functional teams to design scalable data architecture and pipeline solutions.

🎯 Requirements

• Advanced proficiency in Snowflake SQL and data warehousing concepts. • Strong experience with ETL/ELT frameworks and pipeline development. • Demonstrated expertise in data privacy implementation and governance. • Hands-on experience processing and manipulating JSON data structures. • Solid understanding of cloud data platforms and their architectural patterns. • Proficiency in automation scripting (Python, Bash, or similar languages). • Excellent problem-solving skills and attention to detail. • 3+ years of experience in Data Engineering or related disciplines such as data governance, data architecture, or analytics engineering, with hands-on expertise in Snowflake and privacy-focused data solutions. • English: Advanced (required for effective communication with global teams)

🏖️ Benefits

• Learning Opportunities: Certifications in AWS (we are AWS Partners), Databricks, and Snowflake. • Access to AI learning paths to stay up to date with the latest technologies. • Study plans, courses, and additional certifications tailored to your role. • Access to Udemy Business, offering thousands of courses to boost your technical and soft skills. • English lessons to support your professional communication. • Travel opportunities to attend industry conferences and meet clients. • Mentoring and Development: Career development plans and mentorship programs to help shape your path. • Celebrations & Support: Special day rewards to celebrate birthdays, work anniversaries, and other personal milestones. • Company-provided equipment. • Flexible working options to help you strike the right balance. • Other benefits may vary according to your location in LATAM.