Job summary
Job post source
This job is directly from XeoMatrix
Job overview
The Data Engineer role at XeoMatrix involves designing and implementing strategic data solutions to help clients visualize complex data effectively.
Responsibilities and impact
The Data Engineer will architect, build, and maintain data lakes, warehouses, and pipelines, work closely with clients to gather requirements, prototype designs, and deliver final solutions.
Experience and skills
Candidates need 3-5 years of hands-on data engineering experience, proficiency with Python, REST APIs, AWS, GCP, Azure, and data platforms like Snowflake and BigQuery; Salesforce Data Cloud and Tableau experience are preferred.
Work environment and culture
XeoMatrix promotes equal opportunity employment and values qualifications, merit, and business need without discrimination.
Company information
XeoMatrix is a company that provides data engineering and strategic data visualization solutions to clients across industries such as Retail, Finance, Supply Chain, Healthcare, and Manufacturing.
Unique job features
This role offers direct client interaction and the opportunity to work with modern cloud data technologies and migration projects.
Company overview
XeoMatrix is an information technology and services company based in Austin, Texas, specializing in enterprise business intelligence products and services. Founded in 2002, XeoMatrix offers data, analytics, design, and strategy consulting services to help organizations become data-driven. The company simplifies analytics to enable customers to gain actionable insights from their data. With a team of 11-50 employees, XeoMatrix operates from its headquarters at 501 Congress Avenue, Austin, Texas, and has a notable presence in the business intelligence and big data sectors.
How to land this job
Position your resume to highlight 3-5 years of hands-on data engineering experience, emphasizing your skills in architecting and maintaining data lakes, warehouses, and pipelines to align with XeoMatrix's client-facing projects.
Focus on showcasing your proficiency with Python, REST APIs, and cloud platforms like AWS, GCP, and Azure, as well as familiarity with tools such as Snowflake, BigQuery, Databricks, Redshift, and Azure Synapse to match the technical requirements.
Apply through multiple channels including XeoMatrix's corporate career site and LinkedIn to maximize your application visibility and ensure your resume reaches the right hiring teams.
Connect on LinkedIn with data engineering teams or client-facing consultants at XeoMatrix; open conversations by referencing recent projects or asking about their approach to migrating legacy systems to modern data platforms as ice breakers.
Optimize your resume for ATS by incorporating keywords from the job description such as 'data pipelines,' 'Python,' 'AWS,' 'Snowflake,' 'client-facing,' and 'data visualization' to increase your chances of passing initial automated screenings.
Leverage Jennie Johnson's Power Apply feature to automate tailoring your resume, applying through multiple platforms, and identifying relevant LinkedIn contacts, freeing you to focus on interview preparation and skill enhancement.
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