Blend360 logo
Blend360

Optimizing business performance through people, data, tech & analytics

Data Engineer Analyst

Data EngineerData EngineerFull TimeRemoteMid LevelTeam 501-1,000H1B SponsorCompany SiteLinkedIn

Location

Mexico

Posted

3 days ago

Salary

0

Seniority

Mid Level

Job Description

Data Engineer Analyst

Blend360

Role Description We are looking for a Data Engineer Analyst to contribute to the design and implementation of scalable, domain-oriented data solutions for a high-impact enterprise initiative. You will work within a specific data domain — such as Ingestion, Customer Data, Enrichment, or Marketing Signals — ensuring high-quality, reliable data pipelines that power analytics and business-critical workflows. You may work 100% remotely from anywhere in Mexico! - Contribute to the design and development of scalable data pipelines on AWS (Glue, S3, Athena, Step Functions). - Build and optimize batch and streaming ingestion pipelines, including CDC-based architectures. - Support the design and implementation of data models aligned with business and analytics needs. - Ensure data quality, reliability, and performance across pipelines and datasets. - Collaborate with cross-functional teams to align technical solutions with business requirements. - Apply best practices in data engineering, including modular design, reusability, and governance. - Leverage AI-assisted development tools to improve productivity and code quality. - Proactively identify risks, bottlenecks, and optimization opportunities across data workflows. Qualifications - Bachelor's degree in Computer Science, Data Engineering, Software Engineering, or equivalent field. - Hands-on experience with the AWS ecosystem, including Glue, S3, Athena, and Step Functions (required). - Solid proficiency in Python and PySpark for data pipeline development (required). - Experience with Snowflake or similar cloud data warehouse platforms (plus). - Understanding of data pipeline architecture and design patterns. - Exposure to CDC (Change Data Capture) patterns and streaming ingestion. - Experience with data modeling for analytics and reporting use cases. - Familiarity with AI-assisted development tools (plus). - Strong problem-solving skills and ability to work effectively in collaborative, agile environments. - English: Advanced (required for effective communication with global teams). Requirements - 3+ years of experience in Data Engineering or related disciplines, with hands-on work building and maintaining data pipelines on cloud platforms such as AWS. 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. For detailed information regarding the benefits applicable to your specific location, please consult with one of our recruiters.

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Data Engineer3 days ago
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Ireland
Helen of Troy logo

Enterprise Data Lead

Helen of Troy

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Data Engineer3 days ago

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Data Engineer3 days ago

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Germany