Lead Data Engineer T500-20180

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.

Duties and Responsibilities:

• Work closely with Product owners/managers to understand the business needs
• Collaborate with architects, data modelers and other team members to design technical details of data engineering jobs/processes to fulfillment business needs
• Lead sessions with data engineers and provide necessary guidance to solve technical challenges
• Develop new and/or enhance existing data processing (Data Ingest, Data Transformation, Data Store, Data Management, Data Quality) components
• Actively contribute towards setting up and refining data engineering best practices
• Help data engineers adhere to coding standards, best practices, etc. and produce production deployable code that is robust, scalable and reusable
• Support and troubleshoot the data environments, tune performance, etc.
• 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
• Familiar with Agile practices and methodologies

Education Requirements Min / Preferred Education Level Description:

• Minimum 4 Year / Bachelor's Degree A bachelor's degree in computer science, data science, information science or related field, or equivalent work

Years Of Experience Minimum Years of Experience Maximum Years of Experience Comments:

• 8-10 years of experience in a Data Engineering role

Knowledge, Skills, and Abilities:

• Advanced SQL queries, scripts, stored procedures, materialized views, and views (5+ yrs experience)
• Focus on ELT to load data into database and perform transformations in database (5+ yrs experience)
• Ability to use analytical SQL functions
• Snowflake experience a plus.
• Experience building dimensional Data marts, Data lakes and warehouses. (5+ yrs experience)
• Cloud Data Warehouse solutions experience (Snowflake, Azure DW, or Redshift); data modeling, analysis, programming – (3+ years' experience with one or more cloud platforms)
• Experience with DevOps models utilizing a CI/CD tool (2+ yrs experience)
• Work in hands-on Cloud environment in Azure Cloud Platform (ADLS, Blob)
• Talend, Apache Airflow or TWS, Azure Data Factory, and BI tools like Tableau preferred (3+ years experience with one or more)
• Analyze data models

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.