Data Engineer Lead

🔥 1 hour ago

🇨🇴 Colombia – Remote

⏰ Full Time

🟠 Senior

🚰 Data Engineer

👻 Ghost score 19%

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

• Prepare, structure, and enable Snowflake data required to support the Dataiku PO agent proof of concept • Design, develop, and maintain data pipelines to ingest, transform, normalize, and prepare data from multiple sources • Design and implement scalable, reliable, and maintainable data ingestion workflows in Snowflake • Develop and maintain data models supporting analytical use cases and proof-of-concept requirements • Implement data quality checks and validation rules for accuracy, consistency, completeness, and reliability • Use SQL and Python to process, transform, and validate large datasets efficiently • Identify and resolve data inconsistencies, anomalies, and structural issues affecting downstream consumption • Support ETL processes and file-handling workflows for structured and semi-structured data • Collaborate with business and technical stakeholders to understand data requirements and translate them into reliable data solutions • Contribute to technical documentation and continuously improve data processes, standards, and validation practices

🎯 Requirements

• 5+ years of experience in Data Engineering or Data Analytics roles with a strong engineering focus • Strong hands-on experience with Snowflake (must-have) • Strong SQL skills, including data transformation, querying, and validation • Experience with data modeling and preparing datasets for analytical and downstream applications • Proven experience in data quality validation, including implementing checks to ensure accuracy, consistency, and completeness • Experience building and maintaining ETL pipelines and data ingestion workflows • Hands-on experience with Python for data processing and transformation • Strong attention to detail and a focus on data reliability and quality • Ability to collaborate effectively with technical and business stakeholders • Experience integrating or connecting Snowflake with Dataiku (nice to have) • Familiarity with AI-driven or agent-based proof-of-concept initiatives (nice to have)

🏖️ Benefits

• 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 • Career development plans and mentorship programs to help shape your path • 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