Data Engineer - Python, Airflow

6 days ago

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Logo of HALO Branded Solutions

HALO Branded Solutions

HALO Branded Solutions is a company specializing in branded merchandise and promotional products to enhance brand engagement and recognition. They offer a variety of services including custom kitting, company stores, holiday gifting, and creating employee welcome kits. In addition, HALO provides solutions for employee recognition and incentives through tailored programs that align with company cultures. The company also focuses on creating brand ambassadors through company uniforms and branded apparel. HALO serves a wide range of industries by providing creative services, technology solutions, and logistics support to capture and maintain the attention of clients and employees. Their commitment to sustainability and impactful experiences is central to their operations.

sales incentives

1001 - 5000 employees

🤝 B2B

🛒 Retail

🏢 Enterprise

💰 Private Equity Round on 2016-01

📋 Description

• Design and implement data integration solutions using tools such as Apache Airflow, Informatica, Python, and Snowflake • Develop and maintain ETL processes to ensure data is accurately and efficiently loaded into the data warehouse • Develop error handling, alerting, monitoring, and testing processes into data pipelines • Collaborate with cross-functional teams to understand data requirements and deliver solutions that meet business needs • Manage and optimize data pipelines for performance and scalability • Implement and manage DevOps practices in the Data Engineering environment, including version control with BitBucket and continuous integration/continuous deployment (CI/CD) with Jenkins • Develop and manage branching strategies to support multiple development streams • Ensure data quality and integrity through rigorous testing and validation • Work with databases and SQL to extract, transform, and load data • Integrate data from various APIs into the data warehouse and other data platforms • Participate in Agile development processes, including sprint planning, daily stand-ups, and retrospectives • Use Jira for task management and tracking progress • Be available for occasional on-call night/weekend support

🎯 Requirements

• Bachelor’s degree in Computer Science, Information Technology, or a related field • Proven experience as a Data Engineer or in a similar role • Strong understanding of data warehousing concepts and best practices, especially with Snowflake • Experience with ETL tools and processes • Proficiency in Python and SQL • Hands-on experience with DevOps tools and practices • Familiarity with Agile methodologies and tools like Jira • Excellent problem-solving skills and attention to detail • Strong communication and collaboration skills • Experience with AWS

🏖️ Benefits

• Nationwide coverage for Medical, Dental, Vision, Life, and Disability insurance • Additional Voluntary Benefits • 401(k) Retirement Savings Plan • Health Savings Accounts (HSA) • Flexible Spending Accounts (FSA)

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6 days ago

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