Senior Data Engineer

Job not on LinkedIn

September 17

🇨🇴 Colombia – Remote

⏰ Full Time

🟠 Senior

🚰 Data Engineer

🗣️🇪🇸 Spanish Required

Apply Now
Logo of 8020REI

8020REI

Real Estate • Marketing • Artificial Intelligence

8020REI is a company that specializes in providing AI-driven predictive data and advanced marketing strategies for real estate investors. Their services include direct mail, SMS, and cold calling to generate more motivated seller leads, allowing clients to maximize their return on investment. By leveraging machine learning, predictive analytics, and a proven marketing cadence plan, 8020REI helps clients save money and focus on the most promising properties likely to sell at a discount. Their robust data services and marketing insights support transparency, efficiency, and effective targeting in real estate investment.

📋 Description

• Lead design, development, and optimization of high-performance Big Data ETL/ELT pipelines using PySpark • Own data lake strategy from ingestion through processing and storage for large-scale datasets • Take ownership of end-to-end lifecycle for core data storage systems and execute complex data migrations • Manage and optimize AWS Big Data ecosystem (EMR, Glue, Lambda, S3, Athena) with security best practices • Drive cloud migration initiatives and implement cost optimization and governance for cloud data platform • Ensure data quality through testing, validation, monitoring, and governance frameworks • Support BI initiatives by delivering analytics-ready data for tools like Power BI • Lead strategic projects including public API development and AI/ML data foundations • Collaborate with Data Science, Analytics, and Engineering teams to translate business requirements • Provide documentation and take ownership of complex data challenges and platform budget

🎯 Requirements

• 4+ years of hands-on Data Engineering experience with large-scale Big Data systems • Bachelor's degree in Computer Science, Systems Engineering, Data Engineering, or related technical field • Advanced proficiency in PySpark including optimization and performance tuning • Strong Python programming skills with clean, efficient code practices • Deep experience with AWS (EMR, Glue, Lambda, S3, Athena, Step Functions, IAM, API Gateway, EC2, VPC) • Advanced SQL skills including complex queries, optimization, and data modeling • Experience with Big Data fundamentals, distributed computing, and data warehousing • Proven hands-on experience with at least one data lakehouse framework (Apache Hudi, Apache Iceberg, or Delta Lake) • Experience with data pipeline design, lifecycle management, testing, validation, and data governance • Experience supporting BI tools (Power BI) and analytics-ready data • Advanced English and Spanish proficiency (B2 or higher) • Nice to have: Power BI/Tableau/QuickSight, MongoDB, AWS CloudFormation, Agile/SCRUM

🏖️ Benefits

• Competitive Base Compensation • Profit Share Bonus • Flex PTO (up to 26 days per year) • Home Office Upgrade Bonus • HMO Bonus • Full-time Remote Work Opportunity • Opportunity for growth and team-building potential • Ongoing support and budget to develop new skills

Apply Now

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