Data Engineer
1 day ago
Job Title: Data Engineer / Data Scientist
Experience Level: Senior
Job Summary:
We are seeking a highly skilled Data Engineer or Data Scientist to join our team. The ideal candidate will have a strong background in working with complex datasets and querying large volumes of data in Microsoft SQL Server and/or Azure Data Explorer (KQL). You will play a key role in extracting insights from customer subscription data and platform usage, generating reports, and providing analytics that drive business decisions. This role will require collaboration with product teams, C-level executives, and technical stakeholders to ensure data requirements are translated into actionable insights and technical deliverables.
Key Responsibilities:
- Data Querying & Analysis: Write and optimize complex SQL and KQL queries to analyze data in Microsoft SQL Server and Azure Data Explorer.
- ETL Management: Leverage large ETL processes to gather, clean, and transform data from various sources, including subscription and usage data, for analytics purposes.
- Analytics & Insights: Provide key analytics and insights into customer subscription behaviors, platform usage, and other critical KPIs that support business strategies.
- Reporting: Develop data visualizations, reports, and dashboards using Excel, Power BI, or other business intelligence (BI) tools to present findings to stakeholders.
- Azure Expertise: Utilize the Azure ecosystem, including Azure Data Lakes, Azure Data Explorer, and related Microsoft development tools, to manage and analyze large datasets.
- SaaS Experience: Work within a SaaS or software product development environment to support product and operational data needs.
- Collaboration & Communication: Work closely with product managers, C-level executives, and other business stakeholders to understand data-related needs and translate them into technical data requirements.
- Data Quality & Governance: Ensure data integrity, accuracy, and adherence to data governance standards.
- Process Improvement: Identify opportunities to enhance data pipelines, improve performance, and streamline data-related processes.
- Technical Proficiency:
- Strong experience with Microsoft SQL Server and/or KQL (Kusto Query Language) in Azure Data Explorer.
- Expertise in building and maintaining ETL pipelines, transforming large datasets for analytical purposes.
- Hands-on experience with Azure Data Lakes, Azure Data Explorer, and other Azure data services.
- Proficient in data visualization tools (e.g., Power BI, Excel) and reporting.
- Experience:
- 3+ years of experience in a Data Engineer, Data Scientist, or similar role in a SaaS or software product environment.
- Proven experience analyzing subscription and usage data, with a deep understanding of customer behavior analytics.
- Soft Skills:
- Excellent verbal and written communication skills, with the ability to present data-driven insights clearly to both technical and non-technical audiences.
- Ability to work collaboratively in cross-functional teams and with senior leadership.
- Detail-oriented with strong problem-solving skills.
- Experience with Python or other programming languages for data analysis.
- Familiarity with machine learning models and predictive analytics.
- Understanding of data security best practices, including data masking, encryption, and role-based access controls.
- Knowledge of data extraction from Google Play Store, Apple App Store, Stripe, RevenueCat, and Bloomreach (or other Customer Data Platforms.)
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