Overview
On Site
Depends on Experience
Full Time
Able to Provide Sponsorship
Skills
Azure
Snowflake
Databricks
Data Factory
SQL Server database
Functions
Data Lake
Azure Automation
Job Details
Hi,
Position: Sr. Azure Data Engineer Lead
Location: Southewst Austin , TX
Full Time, Direct Hire
Onsite: 4 days per week on-site (Friday is a remote work day)
RESPONSIBILITIES:
Design data pipelines to extract data from different data sources using Azure, Snowflake, Databricks and other cloud-native technologies.
- Lead and mentor a team of mid-level data platform engineers.
- Interact with stakeholders to understand the business needs
- Build a data model to get relevant insights from data, operational efficiency, and other essential performance metrics.
Design and manage inbound and outbound data processes and monitoring. Work with the data provider to bring in new feed into our data eco-system.
Enjoy working in Agile as part of a scrum team and achieve high-quality product incrementally in an interactive manner.
Write Test-driven Development-based code to meet overall data quality standards as defined by the users.
Automate the data testing processes and integrate them with monitoring systems.
Work with the Application Engineering team, DBA, Infrastructure, and Project Ownership.
Analyze existing systems (including legacy) and data sets to help Business Analysts establish the functional and non-functional requirements for the effort technology modernization.
Meet with our users, assist with data-related technical issues, and support their data infrastructure needs.
SKILLS:
8+ years of experience in following technologies: Azure Cloud Services: Data Factory, SQL Server database, Functions, Data Lake, Databricks, Snowflake and Azure Automation.
- At least 4 years of experience as leading a team of Data Engineers. Need to have worked as a Lead or Manager in most recent roles
- Proficiency with Python (6+ years). Additional coding languages: Rust, Typescript and Go. Advanced working knowledge of SQL Server database - writing advanced SQL script, profiling, and optimization.
- Experience in leading Data Engineering teams and interacting with stakeholders
Familiarity with DevOps practices, continuous integration,
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