Infrastructure Data Analytics Engineer
Core
Acquire, transform, and analyze data from infrastructure, platform, cloud, and enterprise systems to provide actionable insights for technology strategy, operational excellence, and risk management.
Role type
Senior Infrastructure Data Analytics Engineer
Builds
Scalable ETL/ELT pipelines, data models, automated workflows, and executive dashboards for infrastructure and operational data.
Domain
Financial Services / Infrastructure & Cloud Operations
Deliverable
production ML models | dashboards & analysis
Required skills
SQL (Advanced), Python, Alteryx, API integration (REST/GraphQL), ETL/ELT, Data Modeling, Data Quality Management, CI/CD pipelines, Version Control
Preferred skills
Power BI, Tableau, Azure, AWS, Databricks, Snowflake, Infrastructure Observability (Datadog, Splunk), Data Governance frameworks
Technologies
Azure, AWS, GitHub, GitLab, Azure DevOps, Alteryx, Power BI, Datadog, Splunk, Dynatrace, ServiceNow
Responsibilities
Design and develop data ingestion processes from infrastructure monitoring platforms, CMDBs, and cloud systems; Develop complex SQL queries and Python-based solutions for data extraction and transformation; Analyze operational data to identify trends, risks, and capacity constraints; Build automated workflows and API integrations to reduce manual effort; Maintain CI/CD deployment pipelines and adhere to SDLC practices; Partner with leadership teams to support data-driven decision making.
Seniority
Senior, hands-on IC