Data Engineer T500-19888

About Inspire Brands:

Inspire Brands is disrupting the restaurant industry through digital transformation and operational efficiencies. The company's technology hub, Inspire Brands Hyderabad Support Center, India, will lead technology innovation and product development for the organization and its portfolio of distinct brands. The Inspire Brands Hyderabad Support Center will focus on developing new capabilities in data science, data analytics, eCommerce, automation, cloud computing, and information security to accelerate the company's business strategy. Inspire Brands Hyderabad Support Center will also host an innovation lab and collaborate with start-ups to develop solutions for productivity optimization, workforce management, loyalty management, payments systems, and more.

Job Description

RESPONSIBILITIES:

• Design, develop and maintain reliable automated data solutions based on the identification, collection and evaluation of business requirements. Including but not limited to data models, database objects, stored procedures and views.
• Developing new and enhancing existing data processing (Data Ingest, Data Transformation, Data Store, Data Management, Data Quality) components
• Support and troubleshoot the data environment (including periodically on call)
• Document technical artifacts for developed solutions
• Good interpersonal skills; comfort and competence in dealing with different teams within the organization. Requires an ability to interface with multiple constituent groups and build sustainable relationships
• Versatile, creative temperament, ability to think out-of-the box while defining sound and practical solutions. Ability to master new skills
• Proactive approach to problem solving with effective influencing skills
• Familiar with Agile practices and methodologies

EDUCATION AND EXPERIENCE REQUIREMENTS:

• Four year degree in Information Systems, Finance / Mathematics, Computer Science or similar
• 3-5 years of experience in Data Engineering

REQUIRED KNOWLEDGE, SKILLS or ABILITIES:

• Advanced SQL queries, scripts, stored procedures, materialized views, and views
• Focus on ELT to load data into database and perform transformations in database
• Ability to use analytical SQL functions
• Snowflake experience a plus
• Cloud Data Warehouse solutions experience (Snowflake, Azure DW, or Redshift); data modeling, analysis, programming
• Experience with DevOps models utilizing a CI/CD tool
• Work in hands-on Cloud environment in Azure Cloud Platform (ADLS, Blob)
• Talend, Apache Airflow, Azure Data Factory, and BI tools like Tableau preferred
• Analyze data models
• We are looking for a Senior Data Engineer for the Enterprise Data Organization to build and manage data pipeline (Data ingest, data transformation, data distribution, quality rules, data storage etc.) for Azure cloud-based data platform. The candidate will require to possess strong technical, analytical, programming and critical thinking skills.

Equal Employment Opportunity Policy:

It is the policy of Inspire Brands Inc. ("IRB" or the "Company") to treat all employees and applicants for employment fairly and to provide equal employment opportunities without regard to race, color, sex, religion, national original or ancestry, ethnicity, sexual orientation, gender identity, age, disability, genetic information, citizenship, military service or veteran status, marital status or any other characteristic protected under applicable federal, state, or local law. This policy applies to all employment practices including recruiting, hiring, placement, pay, promotions, transfers, training, leaves of absence, and termination.

Inspire Brands, Inc. expressly prohibits any form of unlawful employment harassment based on race, color, sex, religion, national original or ancestry, ethnicity, sexual orientation, gender identity, age, disability, genetic information, citizenship, military service or veteran status, marital status or any other characteristic protected under applicable federal, state, or local law. Improper interference with the ability of IRB's employees to perform their expected job duties will not be tolerated.