Data Engineer

Job Description: Data Engineer (6+ Years relevant Experience needed)

Role: Data Engineer with strong Analyst skills

Job location: Phoenix, Arizona.

Type – Hybrid model (3 days a week in office)

Project Expectations: Our project is data analysis heavy, and we are looking for someone who can grasp business functionality and translate that into working technical solutions.

Summary:

We are seeking a Data Engineer with a minimum of 6 years in data engineering, data analysis, and data design. The ideal candidate will have strong hands-on expertise in Python and relational databases such as Postgres, SQL Server, or MySQL. Should have good understanding of data modeling theory and normalization forms.

Required Skills:

• 6+ years of experience in data engineering, data analysis, and data design
• Your approach as a data analysis in your previous / current role, and what methods or techniques did you use to extract insights from large datasets
• Good proficiency in Python
• Do you have any formal training or education in data modeling? If so, please provide details about the course, program, or certification you completed, including when you received it.
• Strong experience with relational databases: Postgres, SQL Server, or MySQL.
• Expertise in writing complex SQL queries and optimizing database performance
• Solid understanding of data modeling theory and normalization forms.
• Good communicator with the ability to articulate business problems for technical solutions.

Key Responsibilities:

• Analyze complex datasets to derive actionable insights and support business decisions.
• Model data solutions for high performance and reliability.
• Work extensively with Python for data processing and automation.
• Develop and optimize SQL queries for Postgres, SQL Server, or MySQL databases.
• Ensure data integrity, security, and compliance across all data solutions.
• Collaborate with cross-functional teams to understand data requirements and deliver solutions.
• Communicate effectively with stakeholders and articulate business problems to drive technical solutions.

Secondary Skills:

• Experience deploying applications in Kubernetes.
• API development using FastAPI or Django.
• Familiarity with containerization (Docker) and CI/CD tools.