Data Engineer Analyst: AWS Data Lakes & Spark Pipelines

Blend; Tandil; Remote; ARS 1,200,000 - 2,000,000; Full time

Benefits offered by this job

AWS Certifications

Databricks

Snowflake

AI learning paths

Udemy access

English lessons

Travel opportunities

Mentoring

Flexible work

Company equipment

Job summary

Blend, a premier AI services provider, is seeking a Data Engineer Analyst to design and maintain scalable data pipelines and lake architectures on AWS. You will work with Spark, PySpark, Iceberg, S3, Glue, Athena, Lambda, and IAM to ensure reliable data processing and secure access for global teams.

You will collaborate with data analysts and data scientists, troubleshoot data quality issues, and contribute to documentation and best practices across the team.

Qualifications

• 2+ years of experience in Data Engineering or related roles, with hands-on work building and maintaining cloud-based data pipelines on AWS.
• Advanced English communication for global teams.
• Strong knowledge of data lake architectures and scalable data processing.

Responsibilities

• Design, build, and maintain scalable data pipelines and ingestion frameworks for batch, streaming, and CDC patterns.
• Develop and optimize data processing workflows using Apache Spark and PySpark for large datasets.
• Implement and manage data lake architectures on AWS using S3 and Iceberg, with schema evolution and time travel.
• Work with AWS services including Glue, Athena, and Lambda for ETL and serverless querying.
• Manage data access controls using AWS IAM ensuring least-privilege access.
• Collaborate with analysts, data scientists, and engineers to deliver production-ready solutions.
• Monitor pipeline health and troubleshoot data quality issues to ensure reliability.
• Contribute to documentation of data flows and engineering standards.

Skills

AWS services

Apache Spark

PySpark

Iceberg

Data lake architecture

SQL

Data modeling

Infrastructure as Code

Airflow

dbt

Lambda

Step Functions

Tools

Airflow

dbt

Step Functions

Lambda

Job description

Blend, a premier AI services provider, is seeking a Data Engineer Analyst to design and maintain scalable data pipelines and lake architectures on AWS. You will work with Spark, PySpark, Iceberg, S3, Glue, Athena, Lambda, and IAM to ensure reliable data processing and secure access for global teams.

You will collaborate with data analysts and data scientists, troubleshoot data quality issues, and contribute to documentation and best practices across the team.