About the team

Our mission as a Data Analytics & Engineering organization is to enable HashiCorp to leverage data as a strategic asset by providing reliable, scalable, and efficient data solutions. Our ultimate goal is to empower our stakeholders to make informed, data driven decisions, and achieve critical business objectives. We are seeking a mid-level engineer to join our team! 

In this role you can expect to

• Securing financial data in a data warehouse and retrieving data from financial sources.
• Building analytics and automating transformation to support and partner with the Finance team.
• Oversee and govern the expansion of existing data architecture and the optimization of data query performance via best practices. The candidate must be able to work independently and collaboratively.
• Develops and maintains scalable data pipelines and builds out new API integrations to support continuing increases in data volume and complexity.
• Collaborates with analytics and business teams to improve data models that feed business intelligence tools, increasing data accessibility and fostering data-driven decision making across the organization.
•  Implements processes and systems to monitor data quality, ensuring production data is always accurate and available for key stakeholders and business processes that depend on it.
•  Performs data analysis required to troubleshoot data related issues and assist in the resolution of data issues.
•  Develop best practices for data structure to ensure consistency within the system

You may be a good fit for our team if you have

• Minimum 3 years of experience as a Finance Data Analyst
• At Least 2+ years of experience working with financial data sets
• Worked on preparing finance reports like balance sheet, Income statement, pipelines and billing metrics
• At least 2+ years of experience using Netsuite, Coupa, Stripe and other financial platform
• Able to help and support Finance and other Accounting team by converting there business use-case into sql and eventually build financial reports
• Adhere to data privacy and security protocols to protect sensitive financial data
• Experience in developing and deploying data pipelines, preferably in the Cloud
• Minimum 2 years of experience with Snowflake- Snowflake SQL, Snow pipe, streams, Stored procedure, Task, Hashing, Row Level Security, Time Travel etc.
• Strong written and oral communication skills with the ability to synthesize, simplify and explain complex problems to different audiences.

It would be great if you had…

• Hands on experience with Snowpark and App development with Snowpark and Stream lit
• Strong experience in ETL or ELT Data Pipelines and various aspects, terminologies with Pure SQL like SCD Dimensions, Delta Processing e
• Working with AWS cloud services - S3, Lambda, Glue, Athena, IAM, CloudWatch, 
• Experience in creating pipelines for real time and near real time integration working with different data sources - flat files, XML, JSON, Avro files and databases
• 2 years of experience in Python programming language to write maintainable, reusable, and complex functions for backend data processing. 

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