Data Engineer Analyst

Blend360; Buenos Aires; Hybrid; ARS 1,200,000 - 2,400,000; Full time

Benefits offered by this job

AWS certifications

Databricks training

Snowflake training

Udemy access

English lessons

Mentoring program

Company equipment

Job summary

Blend360 is seeking a Data Engineer Analyst to design, build, and maintain scalable data pipelines and lake architectures on AWS. You will implement CDC and streaming patterns using Spark/PySpark and manage access controls with IAM, collaborating with data analysts and platform engineers to deliver production-ready data solutions.

The role emphasizes hands-on cloud data engineering, data modeling, and cross-functional communication to ensure data reliability and freshness across large datasets.

Qualifications

• Hands-on AWS data services experience and data lake design.
• Experience with Spark/PySpark for large datasets.
• Knowledge of Iceberg for table management.
• Familiar with CDC, streaming, and batch processing patterns.
• SQL proficiency for querying and analysis.
• Ability to explain technical concepts to non-technical stakeholders.

Responsibilities

• Design and maintain scalable data pipelines on AWS.
• Develop Spark-based data processing workflows.
• Implement data lake architectures with Iceberg.
• Manage AWS IAM access controls and security.
• Collaborate with analysts and scientists to deliver reliable data.
• Monitor pipelines and troubleshoot data quality.
• Document data flows and engineering standards.

Skills

Data engineering

Cloud data pipelines

SQL querying

Collaboration

Tools

AWS Glue

Amazon S3

Amazon Athena

AWS IAM

Apache Spark

Apache Iceberg

Airflow

dbt

Job description

Blend is a premier AI services provider, committed to co-creating meaningful impact for its clients through the power of data science, AI, technology, and people. With a mission to fuel bold visions, Blend tackles significant challenges by seamlessly aligning human expertise with artificial intelligence. The company is dedicated to unlocking value and fostering innovation for its clients by harnessing world-class people and data-driven strategy. We believe that the power of people and AI can have a meaningful impact on your world, creating more fulfilling work and projects for our people and clients. For more information, visit www.blend360.com

We are seeking a Data Engineer Analystto contribute to our next level of growth and expansion.

Job Description

What is this position about?

• Design, build, and maintain scalable data pipelines and ingestion frameworks supporting batch processing, streaming, and change data capture (CDC) patterns.
• Develop and optimize data processing workflows using Apache Spark and PySpark, ensuring reliable and performant transformation across large datasets.
• Implement and manage data lake architectures on AWS, leveraging S3 as the primary storage layer and Apache Iceberg for table format management, schema evolution, and time-travel capabilities.
• Work with AWS-native services including Glue for ETL orchestration, Athena for serverless querying, and Lambda for event-driven data processing.
• Manage data access controls and security configurations using AWS IAM, ensuring compliant and least-privilege access across the data platform.
• Collaborate with data analysts, data scientists, and platform engineers to understand data requirements and deliver production-ready solutions.
• Monitor pipeline health, troubleshoot data quality issues, and implement improvements to ensure data reliability and freshness.
• Contribute to the documentation of data flows, architecture decisions, and engineering standards within the team.

Qualifications

• Advanced hands-on experience with AWS services, including:
  • AWS Glue
  • Amazon S3
  • Amazon Athena
  • AWS IAM
• Apache Spark / PySpark for data processing.
• Data lake architectures, ideally with knowledge of Apache Iceberg.
• Data ingestion patterns, including batch processing, streaming, and CDC patterns
• Experience with SQL for data querying, validation, and exploratory analysis
• Solid understanding of data modeling and large-scale data processing
• Ability to work collaboratively in cross-functional teams and communicate technical concepts clearly to non-technical stakeholders.
• Experience with infrastructure-as-code or pipeline orchestration tools (e.g., Airflow, Step Functions, dbt) is a plus.
• Familiarity with AI-assisted development workflows and engineering productivity tools

What about languages?

English: Advanced (required for effective communication with global teams)

How much experience must I have?

2+ years of experience in Data Engineering or related roles, with hands-on work building and maintaining cloud-based data pipelines and lake architectures on AWS.

Additional Information

Our Perks and 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.

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.