Data Engineer II

Spencer's

United States

United States

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Overview We are authentic, professional providers of fun, focused on building a Great Place To Work For All by staying true to our mission: 'Life's a Party, We're Makin' It Fun!' and 'So Much Fun It's Scary!' At Spencer's and Spirit Halloween, we do the right thing always-integrity, fairness, respect, and transparency are our foundation. You will find our culture to be inclusive, passionate, resilient, and one that values differences and embraces all. One Team / One Goal We are leaders and owners of our business success. Whether it's developing new and exclusive costumes, quality testing products, or implementing technology solutions, our teams understand the value of working collaboratively to embrace change through innovation, curiosity, and thoughtfulness. We offer a comprehensive benefits package that includes: Flexible work environment Career advancement Competitive base salary Bonus opportunity Vacation, Personal, Sick and Holiday pay Medical, Dental, Vision, Disability, Life and AD&D insurance 401k with a company match 30% merchandise discount Responsibilities As a Data engineer, you will support the data engineering function by assisting in the development and maintenance of robust data pipelines and collaborating with various teams. Key responsibilities include: Development and management of data pipelines for various data sources such as e-commerce, stores, suppliers & vendors, and internal ERP systems Supporting senior data engineers and data architects in building and maintaining data infrastructure and architecture and ensuring data integrity and security Collaborating with cross-function teams including Data engineers, Data architects, Business Analyst, IT leaders and business users to understand data requirements Assisting in maintaining the code repository and assist in maintaining and promoting the pipelines through CI/CD Responsible for performing root cause analysis on internal and external data processing related issues Maintain documentation and create high level data flow and low-level data flow for the pipelines Following best practices in coding and maintaining data pipelines to ensure efficiency, reliability, and scalability Qualifications Bachelor's degree in computer science, Information Technology, or a related field; and at least 2 years of hands-on experience with Data Engineering, BI, or Data Warehousing; or an equivalent combination of education and experience. Strong experience on Azure Databricks, Azure Data Factory, Azure Key Vault, ADLS Proficiency in Python and SQL Experience with Data integration, ingestion, transformation and modelling Basic understanding of agile project delivery framework and DevOps processes Familiarity with visualization platforms like PowerBI Basic knowledge of modeling techniques (star schema, OLAP) and workflow orchestration (Apache Airflow) Knowledge on using AI tools like Co-pilot, ChatGPT, Databricks Assistant, Github Co-pilot Basic knowledge on AI/ML concept will be plus Excellent written and verbal communication skills Self-starter who welcomes responsibility and is eager to learn and grow and should be able to work with the team The pay range reflects the potential base salary range for this role. Individual base pay is determined by various factors such as relevant experience and skills, and the scope and responsibilities of the position. Pay Range $85,000-$95,000

United States

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English

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