Cloud Data Platform Engineer

Slalom Build; Mexico; Hybrid; PHP 5,511,329 - 7,960,808; Full time

Job summary

Slalom is seeking a Data Engineer to design, build, and optimize data platform solutions across AWS, Azure, and Google Cloud technologies. You will work in collaborative teams to deliver scalable data products and platforms that enable AI-assisted decision-making.

You will design components under guidance, translate complex requirements into tasks, and ensure timely delivery while collaborating with data engineers and architects. Join a globally connected team driving data-driven transformation.

Qualifications

• 4+ years of hands-on experience designing, building, and optimizing data engineering solutions in production environments.
• Experience with modern data technologies spanning cloud data warehouses and streaming platforms.
• Familiarity with the listed technologies (Redshift, Snowflake, BigQuery, Synapse, EMR, Spark, Presto, Databricks, Kinesis, Kafka, Python, Java) is expected.

Responsibilities

• Designing and implementing components of clients’ data platform solutions under guidance of a Solution Architect.
• Participating in design sessions and translating complex requirements into actionable development tasks.
• Ensuring timely, high-quality delivery of development items for yourself and for the data engineers you support.
• Building solutions using modern data technologies: cloud data warehouses, distributed processing engines, event streaming platforms, and more.
• Working across data engineering disciplines, including streaming/real-time data, modern data platforms, data architecture, and AI-accelerated data engineering.

Skills

Cloud Platforms

Big Data & Streaming

Tools

Python

Java

Job description

Slalom is seeking a Data Engineer to design, build, and optimize data platform solutions across AWS, Azure, and Google Cloud technologies. You will work in collaborative teams to deliver scalable data products and platforms that enable AI-assisted decision-making.

You will design components under guidance, translate complex requirements into tasks, and ensure timely delivery while collaborating with data engineers and architects. Join a globally connected team driving data-driven transformation.