Software Engineer - Data

APN Consulting, Inc. • Austin, TX

2h • Onsite

About The Position

APN Consulting, Inc. is a progressive IT staffing and services company offering innovative business solutions to improve client business outcomes. We focus on high impact technology solutions in ServiceNow, Fullstack, Cloud & Data, and AI / ML. Due to our globally expanding service offerings we are seeking top-talent to join our teams and grow with us. We are seeking a highly experienced Engineer to join our team and own the development of a Tiered data architecture for our data. In this role, they would be responsible for crafting and building a comprehensive data architecture that will enable seamless data integration and enable the delivery of high-quality insights to our leadership and business stakeholders.

Requirements

• Proven experience in data engineering, data architecture, or a related field
• Strong understanding of data modeling, data warehousing, and ETL concepts
• Proficiency in SQL and experience with at least one major data analytics platform, such as Hadoop or Spark
• Excellent problem-solving and analytical skills, and the ability to work well under tight deadlines
• Excellent interpersonal skills and the ability to collaborate effectively with cross-functional teams.
• Apache Spark
• SQL
• git
• Programing Language (Python, Java, Scala)

Nice To Haves

• Experience in building and deploying tiered data architecture for analytics data is a plus
• Experience with data orchestration tools like Airflow is a nice to have
• Understanding of Design Patterns
• Able to discuss tradeoffs between RDBMS vs Distributed Storage

Responsibilities

• Design and implement a tiered data architecture that integrates analytics data from multiple sources in an efficient and effective manner.
• Develop data models and mapping rules to transform raw data into actionable insights and reports.
• Collaborate with the analytics and business teams to understand their requirements and deliver solutions that meet their needs.
• Ensure data quality and accuracy by developing data validation and reconciliation processes.
• Play an active role in the development and maintenance of user documentation, including data models, mapping rules, and data dictionaries.
• Collaborate with multi-functional teams to define and implement data governance policies and standards.
• Stay informed about the latest developments in data analytics and data management technologies and recommend new tools and methodologies to improve the semantic layer.

What This Job Offers

• Job Type: Full-time
• Career Level: Senior
• Education Level: No Education Listed