Data Engineer

About the role

Reporting to the Sr. Manager, Data Engineering - this role will help lead HashiCorp’s IT data engineering effort across a wide range of data systems and tools with the primary goal of delivering data for deeper integration, enhanced capabilities, and impactful analytics. This role will work closely with a data integration team, product engineering, as well as data analysts to deliver end to end optimization and support of the data life cycle. Key projects include the creation and support of an enterprise data warehouse, data prep for prescriptive and predictive modeling, data analytics for process improvement, data acquisition for future use cases, and many others.  

In this role you can expect to:

• Develop a secure, scalable, high-performance and reliable and cost-effective Data platform software and services in a multi-Cluster environment.
• Partner with FP&A, WWFO, Infosec, and development teams across the entire enterprise to establish a strong relationship and trust for prioritizing and delivering projects on time and with a high degree of quality.
• Establish patterns for re-use, standards and best practices for Data Engineering & Analytics such that data timeliness and quality are maximized.
• Partner with the Audit, Compliance and Governance leaders to ensure data is secured and conforms to the guidelines laid out by the organization and the industry.
• Partner with cross-functional teams to deliver large scale strategic projects as well as ongoing operational activities related to Big Data Platform. Interface with cross functional leaders and represent point of views to drive measurable success.

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

• Bachelor's or Master's in computer engineering, computer science or related area.
• 3+ years proven experience in developing and deploying data pipelines, preferably in the Cloud
• 3+ years proven experience in building data warehouse platforms in dealing with star & snowflake schemas as well as slowly changing dimensions.
• 3+ years of strong experience with SQL and stored procedures
• 2+ years of Experience of working with public cloud platforms like AWS, Azure or GCP
• Expertise in Snowflake architecture and setting up the full Environment
• 2+ years of proven expertise 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 with at least one programming language like Python, Java or Scala
• Knowledge on Big Data platforms and applications is a plus.
• Knowledge for handling exceptions and automated re-processing and reconciling
• Passion for Data Quality with an ability to integrate these capabilities into the deliverables
• Prior use of Big Data components and the ability to rationalize and align their fit for a business case
• Experience in working with different data sources - flat files, XML, JSON, Avro files and databases
• Proficiency in techniques for slowly changing dimensions
• Ability to integrate into a project team environment and contribute to project planning activities
• Experience with implementation plans and schedules and preparing documentation for the jobs according to the business requirements
• Translate ambiguous and complex situations to clear measurable plans
• Ability to work with people across the organization and skilled at managing cross-functional relationships and communicating with leadership across multiple organizations.
• Strong written and oral communication skills with the ability to synthesize, simplify and explain complex problems to different audiences.
• Experience with critical applications like Salesforce, Netsuite, Anaplan, Marketo and other Marketing, Sales, SaaS platforms

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