Lead Data Engineer

🔥 53 minutes 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

• Build and maintain scalable ETL pipelines using AWS Glue, Spark, and Athena to process modem telemetry, outage events, and customer impact data • Develop and manage daily data quality checks, including SQL validations, threshold-based alerts, and row-count monitoring • Investigate data anomalies such as nulls, duplicates, missing intervals, and unexpected data distributions, resolving issues before they affect downstream systems • Integrate data from multiple upstream systems, including AOM, IPDR, Scope, CARS, IRIS, and Gisual, to produce unified, validated datasets • Support data product certification by validating outputs and ensuring they meet established quality standards before stakeholder delivery • Coordinate versioned data product releases, including test case development, release notes, go/no-go decisions with end users, and patches through a structured release process • Document data validation methodologies, pipeline behavior, and release processes • Collaborate with data engineering teammates and BI and operational stakeholders throughout the data delivery lifecycle

🎯 Requirements

• Strong proficiency in SQL, including window functions (LAG, PARTITION BY), grouping sets, null handling, and Athena-specific query patterns • Experience with Python for scripting, automation, and data validation • Hands-on experience with AWS data services, particularly Glue, Athena, S3, EMR, and Step Functions • Experience using Spark for large-scale data processing, preferably on EMR • Strong understanding of data quality and ability to investigate anomalies, identify root causes, and determine when data does not look correct • Experience validating data pipelines and ensuring data accuracy and consistency before downstream consumption • Strong written communication skills, with ability to document technical methodologies and coordinate effectively with teammates and stakeholders • Experience working with telecommunications or network operations data, including modem telemetry, outage records, or IPDR-style data feeds (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 • Special day rewards to celebrate birthdays, work anniversaries, and other personal milestones • Company-provided equipment • Flexible working options • Other benefits may vary according to your location in LATAM