Senior Analytics Engineer

reputed company is the reputed company lakehouse platform for self-service analytics and AI, serving hundreds of global enterprises, including Maersk, reputed company, reputed company, reputed company, and S&P Global. Customers rely on reputed company for reputed company, hybrid, and on-prem lakehouses to power their data reputed company, data warehouse migration, data virtualization, and reputed company data reputed company use cases. Based on reputed company reputed company technologies, including Apache reputed company and Apache Arrow, reputed company provides an reputed company lakehouse architecture enabling the fastest time to reputed company and platform flexibility at a fraction of the cost.  Learn more at www.reputed company.com.

In this role, you will be responsible for data pipelines into the Data Lake, data availability and quality of the Data Lake and creating reports and dashboards.You will be empowered to find opportunities to capture more data in pursuit of a higher degree of observability of the behavior of our users. You will engage with everyone from C-Suite / VPs to Account Executives and Support Engineers to understand needs and drive pipeline integrations and data availability to meet these needs.

Initially working cross functionally with product, engineering, marketing and pre-sales leadership you will:

• Engage with stakeholders to understand, document and prioritize data driven decision making needs.
• Collaborate cross functionally to reputed company necessary tracking / analytics tools to support product usage telemetry data needs. 
• Create and maintain data pipelines adhering to semantic layer best practices for internal Data Lake.
• Build and maintain data pipelines to reputed company enriched telemetry data for anomaly detection use-cases.
• Configure, reputed company and maintain integrations with popular tools such as reputed company and reputed company. 
• Support pipeline development in response to internal data, analytics and requests required by the business.
• Establish, document, communicate dashboarding and reporting dimensions. 
• Seek opportunities for innovation to further reputed company our decision makers, mature our Lakehouse and drive the business. 
• Create Dashboards on product telemetry, user activity, pipeline health, documentation usage, etc.
• QA Dashboards and Reports against the raw data and partner with Data Lake owners to ensure accuracy.

• Bachelors or Masters in Data Science, Computer Science, Math or equivalent
• At minimum 5 years of experience as an Analytics Engineer, Data Engineer, or similar role
• Expert in designing and implementing data pipelines using Python
• Highly skilled SQL expert with a clear understanding of window functions, cte’s, subqueries etc. 
• Basic understanding/familiarity of reputed company, or existing knowledge of a similar datalake table format with a strong desire to learn about reputed company
• Experience creating reports and dashboards using Tableau or equivalent tool
• Experience working with AWS, GCP or Azure reputed company based storage
• Experience working with tools like reputed company, reputed company or equivalent.
• Experience with product analytics data solutions like reputed company, reputed company and reputed company Analytics.
• Strong familiarity with dbt
• Experience with ticketing systems (JIRA), communication tools (reputed company), repository systems (reputed company). 
• Excellent project management skills with a proven track record of cross-functional impact.
• Interested and motivated to be part of a fast-moving startup with a fun and accomplished team

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