Data Engineer

 

We are seeking a highly skilled and motivated Data Engineer to join our team. The ideal candidate will have strong proficiency in Python programming language, extensive experience with Oracle PL/SQL, and a solid understanding of Azure Serverless compute resources. As a Data Engineer, you will be responsible for designing, implementing, and maintaining scalable data pipelines and solutions to support our data-driven initiatives.

 

Responsibilities

• Data Pipeline Development: Design, develop, and maintain robust data pipelines to extract, transform, and load (ETL) data from various sources into our data warehouse using Python and Azure Serverless compute resources.
• Data Modeling and Optimization: Work closely with analysts to design and optimize data models for performance and scalability. Utilize Oracle PL/SQL for efficient data querying and manipulation.
• Database Management: Manage and administer Oracle databases, including schema design, indexing, and performance tuning to ensure data integrity and reliability.
• Cloud Infrastructure Management: Deploy, configure, and manage Azure Serverless compute resources, such as Azure Functions, Azure Logic Apps and Azure Data Factory, to support data processing tasks and workflows.
• Monitoring and Maintenance: Implement monitoring solutions to proactively identify and address issues with data pipelines and database performance. Perform regular maintenance tasks to ensure optimal performance and reliability of data infrastructure.
• Documentation and Collaboration: Document data pipelines, database schemas, and infrastructure configurations. Collaborate with cross-functional teams including data scientists, analysts, and software engineers to understand data requirements and deliver effective solutions following our SCRUM framework.
• Continuous Improvement: Stay up to date with emerging technologies and best practices in data engineering. Continuously evaluate and recommend improvements to enhance the efficiency, scalability, and reliability of our data infrastructure.

 

Qualifications:

- Bachelor’s or master’s degree in computer science, Engineering, or a related field.

- Proven experience as a Data Engineer or similar role, with a focus on building data pipelines and managing large-scale data infrastructure.

- Strong proficiency in Python programming language, with experience in developing data processing applications and scripts.

- Extensive experience with Oracle PL/SQL, including database design, optimization, and administration.

- Hands-on experience with Azure cloud services, particularly Azure Serverless compute resources (e.g., Azure Functions, Azure Logic Apps, Azure Data Factory).

- Solid understanding of data modeling principles and best practices.

- Excellent problem-solving skills and attention to detail.

- Strong communication and collaboration skills, with the ability to work effectively in a team environment.

- Experience with Oracle cloud infrastructure.

- Knowledge of big data technologies such as Hadoop, Spark, or Kafka.

- Experience with containerization technologies such as Docker and Kubernetes.

- Familiarity with Business Intelligence tools like MicroStrategy.

- Familiarity with data visualization tools such as Power BI or Tableau.

 

 

Rules we live by | Rules you live by

• Be a Good Human - Be original, be authentic. Stand for diversity, equitability & inclusivity.
• Have No Fear - Innovate, solve problems
• Own Every Decision - Work together, get results
• Quality Matters – Not only with product but we see it in our people
• Make Shit Happen - Be disciplined, be competitive

Benefits

• Paid Time Off
• Clothing Allowance
• Generous Employee Discount
• Paid Parental Leave
• Membership to Calm and access to other wellness benefits
• Medical, dental, vision and ancillary benefits
• 401k

The target salary for this position is $130,000-150,000 based on experience and expertise level in certain requirements

rag & bone is an EEO/Affirmative Action Employer. No employee or applicant is discriminated against because of race, color, sex (including pregnancy), age, national origin, religion, sexual orientation, gender identity, gender expression, parental status, status as a veteran, and basis of disability or any other federal, state or local protected class.

Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions. The employee is regularly requ