Data Engineer Analyst — AWS, Spark, Data Lake

Blend360; Ciudad de México; Hybrid; MXN 600,000 - 1,100,000; Full time

Benefits offered by this job

Christmas Bonus

Saving Fund

MetLife Life Insurance with funeral

MetLife Medical Insurance including...

Dependents optional with additional

Vacation days with annual increases

Official holidays by law

Flexible working options

Study plans, courses, and professional

English lessons

Job summary

Blend360 is seeking a Data Engineer Analyst to design, build, and maintain scalable data pipelines on AWS, leveraging Spark/PySpark and Iceberg for lake architectures. You will work with analysts, data scientists, and engineers to ensure reliable, fresh data and well-documented flows across batch and streaming use cases.

Your role includes implementing governance with IAM, coordinating Glue-based ETL, and optimizing queries with Athena, while collaborating across global teams in a fast-paced

Qualifications

• 2+ years in Data Engineering with AWS-based pipelines.
• Experience with Spark/PySpark data processing.
• Knowledge of AWS data services (S3, Glue, Athena, IAM).
• Understanding of data lakes and Iceberg.
• Experience with SQL for data querying and validation.
• Ability to communicate with non-technical stakeholders.
• Experience with IaC or orchestration tools is a plus.
• Familiarity with AI-assisted development workflows.

Responsibilities

• Design, build, and maintain scalable data pipelines for batch and streaming.
• Develop Spark/PySpark workflows for large datasets.
• Manage data lake architectures on AWS using S3 and Iceberg.
• Use Glue, Athena, and Lambda for ETL and querying.
• Enforce data access controls with AWS IAM.
• Collaborate with analysts, data scientists, and engineers.
• Monitor pipelines and improve data reliability.
• Document data flows and engineering standards.

Skills

AWS data services

PySpark

Data lake design

SQL querying

Data modeling

Cross-functional collaboration

IaC / pipeline tooling

Tools

Airflow

dbt

AWS Glue

Athena

Terraform

Job description

Blend360 is seeking a Data Engineer Analyst to design, build, and maintain scalable data pipelines on AWS, leveraging Spark/PySpark and Iceberg for lake architectures. You will work with analysts, data scientists, and engineers to ensure reliable, fresh data and well-documented flows across batch and streaming use cases.

Your role includes implementing governance with IAM, coordinating Glue-based ETL, and optimizing queries with Athena, while collaborating across global teams in a fast-paced