Azure Data Analytics Engineer Job at Armanino LLP, San Ramon, CA

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  • Armanino LLP
  • San Ramon, CA

Job Description

At Armanino, you determine your career path. This means it's possible to pursue challenges you are passionate about, in industries you care about.

Armanino is proud to be Among the top 20 Largest Firms in the Nation and one of the Best Places to Work . We have a community of resources that are ready and willing to support your ideas, build your skills and expand your professional network. We want you to integrate all aspects of your life with your career. At Armanino, we know you don't check-out of life when you check-in at work. That's why we've created a unique work environment where your passions, work, and family & friends can overlap. We want to help you achieve growth by giving you access to a network of smart and supportive people, willing to listen to your ideas.

Armanino is a proud Microsoft Inner Circle Partner and we are seeking an experienced Azure Data Analytics Engineer to join our team and help deliver powerful technology solutions to our clients through implementation, integration, and optimization of data analytics solutions. As an Azure Data Analytics Engineer, you will work within our Azure practice to design, develop, and maintain data analytics solutions using Microsoft Fabric and other Microsoft Azure services. You will collaborate with cross-functional teams to implement data pipelines, create analytical models, and deliver insights that drive business value for our clients.

Job Responsibilities

Technical Implementation and Development:
  • Design and implement data analytics solutions using Azure services such as Microsoft Fabric, Azure Synapse Analytics, Azure Data Factory, and Azure Data Lake Storage
  • Develop and maintain ETL/ELT pipelines to process data from various sources into analytical data models
  • Create and optimize SQL queries and stored procedures for data transformation and analysis
Data Analytics and Reporting:
  • Build and maintain data models using Azure Analysis Services and Power BI
  • Build and maintain semantic models using Fabric's Direct Lake mode and traditional import move
  • Create real-time analytics solutions using Fabric's Real Time Analytics capabilities
  • Implement data visualization solutions using Power BI and other Azure-compatible visualization tools
  • Develop and maintain documentation for data processes, models, and analytics solutions
Solution Architecture and Optimization:
  • Collaborate with senior team members to design scalable data analytics architectures
  • Implement best practices for data storage, processing, and analysis in Azure environments
  • Monitor and optimize performance of data analytics solutions, ensuring efficiency and cost-effectiveness
Project Execution:
  • Work with our clients' project teams to understand requirements and translate them into technical solutions
  • Implement and Deploy Azure data solutions
  • Participate in technical design discussions and contribute ideas for solution improvement
  • Troubleshoot and resolve data analytics issues in development and production environments
Technical Growth:
  • Stay current with Azure data services and analytics capabilities through continuous learning
  • Share knowledge with team members and contribute to internal technical documentation
  • Participate in code reviews and technical discussions to ensure quality and maintain standards

Requirements
  • Bachelor's degree in business, data, related major or equivalent work experience
  • Minimum of 3 years' experience in data analytics or business intelligence
  • Minimum of 2 years' hands-on experience working with and focusing on Azure services (Azure Synapse Analytics, Azure Data Factory, Azure Data Lake Storage, Microsoft Fabric)
  • DP-203 and/or DP-600 Microsoft Certifications
  • Proficiency in SQL and experience with Python or R for data analysis
  • Experience with Power BI or similar business intelligence tools
  • Knowledge of data modeling concepts and best practices including Semantic Models and DAX
  • Experience developing and supporting on-premises SQL Data Warehouses, SSIS, and SSAS
  • Understanding of ETL/ELT processes and data warehouse concepts
  • Strong problem-solving skills and attention to detail
  • Excellent communication skills and ability to work effectively in a team environment

"Armanino" is the brand name under which Armanino LLP, Armanino CPA LLP, and Armanino Advisory LLC, independently owned entities, provide professional services in an alternative practice structure in accordance with law, regulations, and professional standards. Armanino LLP and Armanino CPA LLP are licensed independent CPA firms that provide attest services, and Armanino Advisory LLC and its subsidiary entities provide tax, advisory, and business consulting services. Armanino Advisory LLC and its subsidiary entities are not licensed CPA firms.

Armanino provides equal employment opportunities (EEO) to all employees and applicants for employment without regard to race, color, religion, sex, national origin, age, disability or genetics. In addition to federal law requirements, Armanino complies with applicable state and local laws governing nondiscrimination in employment in every location in which the company has facilities. This policy applies to all terms and conditions of employment, including recruiting, hiring, placement, promotion, termination, layoff, recall, transfer, leaves of absence, compensation and training.

Armanino expressly prohibits any form of workplace harassment based on race, color, religion, gender, sexual orientation, gender identity or expression, national origin, age, genetic information, disability, or veteran status. Improper interference with the ability of Armanino employees to perform their job duties may result in discipline up to and including discharge.

Armanino does not accept unsolicited candidates, referrals, or resumes from any staffing agency, recruiting service, sourcing entity, or third-party paid service at any time. Any referrals, resumes, or candidates submitted to Armanino or any employee or owner of Armanino without a pre-existing agreement signed by both parties covering the submission will be considered the property of Armanino and not subject to any fees or charges. For existing agreements, a role must be approved and open to external search; otherwise, unsolicited and unapproved submittals and referrals will be considered Armanino property and free of fees. In addition, Talent Acquisition is the sole point of contact, and contacting others in our organization without Talent Acquisition's knowledge will result in termination of contract.

Certain states require us to disclose the pay range and benefits summary for job openings. The compensation range for this position is as follows: $107,100 - $144,900 (Colorado and Illinois), $117,800 - $159,400 (Washington, New York, and Southern California), $123,200 - $166,600 (Northern California). Compensation may vary based on skills, role, and location.

Armanino has a robust offering of benefits, including:
  • Medical, dental, vision
  • Generous PTO plan and paid sick time
  • Flexible work arrangements
  • 401K with Profit Sharing
  • Wellness program
  • Generous parental leave
  • 11 paid holidays

For positions based in San Francisco, consistent with the SF Fair Chance Ordinance, an arrest and conviction record will not automatically disqualify a qualified applicant from consideration.

For Individuals who would be working within the City of Los Angeles, Armanino will consider for employment all qualified applicants, including those with criminal histories, in a manner consistent with the requirements of applicable state and local laws, including the City of Los Angeles' Fair Chance Initiative for Hiring Ordinance

To view our Consumer Notice at Collection for job applicants, please visit:

We have a community of resources that are ready and willing to support your ideas, build your skills and expand your professional network. Armanino LLP

Job Tags

Holiday work, Contract work, Work experience placement, Local area, Flexible hours,

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