Data Engineer Analyst — AWS Data Lakes, Spark & CDC

Blend; Región Centro; On-site; MXN 450,000 - 750,000; Full time

Benefits offered by this job

Christmas Bonus

Saving Fund

Food/grocery vouchers

Home Office allowance

Job summary

Blend is seeking a Data Engineer Analyst to design, build, and optimize scalable data pipelines on AWS. You will work with Spark/PySpark to process large datasets, implement Iceberg-based data lake architectures, and leverage Glue, Athena, and Lambda for orchestration and querying.

The role emphasizes data quality, security through IAM, and collaboration with data analysts, scientists, and engineers to deliver production-ready data solutions. English is required for global teamwork.

Qualifications

• 2+ years of experience in Data Engineering or related roles.
• Hands-on experience building cloud-based data pipelines on AWS.
• Experience with Spark/PySpark for data processing.
• Familiarity with data lake architectures and Iceberg is a plus.
• Strong SQL skills for querying, validation and analysis.
• Knowledge of data modeling and large-scale processing.
• Able to communicate technical concepts to non-technical stakeholders.

Responsibilities

• Design, build, and maintain scalable data pipelines and ingestion frameworks for batch, streaming, and CDC patterns.
• Develop and optimize data processing workflows using Spark and PySpark.
• Implement and manage data lake architectures on AWS (S3, Iceberg).
• Work with Glue, Athena, and Lambda for ETL and querying tasks.
• Manage data access controls using AWS IAM and ensure security best practices.
• Collaborate with analysts, data scientists, and platform engineers to deliver production-ready solutions.
• Monitor pipelines, troubleshoot data quality, and improve reliability.
• Document data flows, architecture decisions, and engineering standards.

Skills

AWS services

Spark / PySpark

Data lake architecture

CDC / streaming

SQL querying

Data modeling

Cross-functional collaboration

Infrastructure as code

Airflow

dbt

Step Functions

AWS Glue

Athena

Lambda

Tools

Airflow

dbt

Step Functions

Terraform

AWS Glue

Athena

Lambda

Job description

Blend is seeking a Data Engineer Analyst to design, build, and optimize scalable data pipelines on AWS. You will work with Spark/PySpark to process large datasets, implement Iceberg-based data lake architectures, and leverage Glue, Athena, and Lambda for orchestration and querying.

The role emphasizes data quality, security through IAM, and collaboration with data analysts, scientists, and engineers to deliver production-ready data solutions. English is required for global teamwork.