Amazon Web Services (AWS), Cloud Computing, Communication Skills, Cost Analysis, Cross-Functional, Data Management, Data Visualization, Debugging Skills, Documentation, Finance, Financial Analysis, Home Automation, Knowledge Transfer, Leadership, Microsoft Windows Azure, Power BI, Python Programming/Scripting Language, Reporting Dashboards, SQL (Structured Query Language), Software Engineering, Team Player
Location: On-site, 4 days per week at WHQ
Experience Required: Minimum 5 6 years
Responsibilities:
- Work with a team of approximately 10 12 professionals, including principal engineers, domain partners, and finance analysts.
- Navigate multiple data sources and trace back data pipelines to identify the true source of information.
- Collaborate with software engineers, cost analysts, and finance partners to deliver reliable data insights.
- Participate in cross-functional meetings with leadership and domain partners.
- Document processes, communicate insights clearly, and support knowledge transfer within the team.
- Be available to start as soon as possible.
Required Technical Skills:
- Strong background in data and visualization engineering.
- Proficiency in Python for coding and data integration.
- Expertise in SQL for querying and managing data.
- Hands-on experience with Azure and AWS cloud environments.
- Skilled in Power BI for dashboarding and data visualization.
- Ability to follow and debug data code to find the source of truth.
Preferred Skills:
- Familiarity with financial data or cost analysis.
- Experience with automation tools or building automated data workflows.
Soft Skills:
- Ability to work independently and within a fast-paced team environment.
- Strong communication and documentation skills.
- Readiness to adapt to team schedules, including DTL weeks in December.
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Macpower Digital Assets Edge Private Limited