Data Engineer: Infra Cost & Analytics Platform

Sony Interactive Entertainment Inc.

Austin (TX)

On-site

USD 110,000 - 170,000

Full time

7 days ago
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Job summary

Sony Interactive Entertainment is seeking a Data Engineer to build the data foundation for understanding cost, utilization, and economics of PlayStation's global infrastructure. You will own end-to-end pipelines and models, ingesting data from on-prem and cloud sources to deliver trusted insights for decision-making.

The role requires 3+ years building production data pipelines, advanced SQL, Python, and experience with Snowflake/Databricks/dbt.

Qualifications

  • 3+ years building production data pipelines.
  • Advanced SQL and Python proficiency.
  • Experience with Snowflake, Databricks, dbt, and ELT pipelines.
  • Ability to translate business problems into measurable data solutions.

Responsibilities

  • Build scalable data pipelines ingesting infrastructure, engineering, financial, and product data.
  • Develop cost and allocation models linking consumption to workloads, services, features, and products.
  • Partner with engineering teams to understand telemetry and instrumentation needed to measure infrastructure.
  • Analyze cost, utilization, capacity, and unit economics to drive key decisions across teams.
  • Create trusted metrics, datasets, dashboards, and analytical tools for engineering, product, Finance, and leadership.
  • Establish data quality, testing, observability, documentation, and reproducibility.

Skills

Advanced SQL
Python
Snowflake
Databricks
dbt
ETL/ELT pipelines
Data modeling
Analytics tools
Communication

Education

Bachelor's degree in Computer Science

Tools

dbt Cloud
AWS

Job description

Sony Interactive Entertainment is seeking a Data Engineer to build the data foundation for understanding cost, utilization, and economics of PlayStation's global infrastructure. You will own end-to-end pipelines and models, ingesting data from on-prem and cloud sources to deliver trusted insights for decision-making.

The role requires 3+ years building production data pipelines, advanced SQL, Python, and experience with Snowflake/Databricks/dbt.

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