Parra Consulting Group, Inc.

Engineer

• Partner with business stakeholders, data owners, analysts, and technical teams to understand business processes and data needs
• Facilitate information-gathering discussions, clarify requirements, and translate needs into user stories, acceptance criteria, source-to-target mappings, and technical specifications
• Build and improve data pipelines that deliver data to business users, including solutions built with Databricks
• Use SQL and Python to query, profile, transform, and validate data, and troubleshoot data quality issues across multiple tables and sources
• Ensure data solutions meet business requirements and help clients understand how their data products support business outcomes
• Document data definitions and transformation logic, and explain technical findings in clear, non-technical language
• Contribute to Agile planning, sprint activities, and continuous improvement efforts

Explore Data Success Engineer at Parra Consulting Group, Inc.. Review requirements and application details.

Data Success Engineer

Data Engineer

• Design, develop, and optimize scalable data pipelines, data models, and analytics-ready datasets using advanced SQL and Databricks
• Develop, tune, and troubleshoot complex SQL solutions across Oracle SQL, PostgreSQL, and Databricks SQL
• Integrate data from databases, cloud data platforms, APIs, JSON, XML, and flat files
• Implement automated testing, data validation, data reconciliation, and data-quality processes
• Translate solutions across different SQL dialects and database environments
• Collaborate with data engineers, analysts, software developers, data scientists, and client stakeholders to deliver secure, high-performing solutions
• Communicate technical concepts to technical and non-technical audiences
• Raise questions, risks, and recommended actions to management early

Explore SQL Data Engineer at Parra Consulting Group, Inc.. Review requirements and application details.

SQL Data Engineer

• Design, build, and maintain robust, end-to-end data pipelines for an enterprise Lakehouse on Databricks and AWS
• Develop and manage ETL processes with comprehensive logging and error handling to troubleshoot and resolve issues
• Design data models within a Bronze, Silver, and Gold medallion architecture, selecting dimensional or relational approaches as appropriate
• Analyze and decompose complex legacy SQL, rebuild pipelines and models, and compare results to validate accuracy and performance
• Optimize pipeline performance and scalability using techniques such as partitioning, bucketing, and caching
• Use AI-assisted coding tools to accelerate pipeline analysis, data engineering, and data modeling tasks
• Help ensure data security and compliance
• Collaborate with cross-functional teams to deliver analytics-ready data

Explore Data Engineer, Databricks at Parra Consulting Group, Inc.. Review requirements and application details.

Open roles

Data Success Engineer

SQL Data Engineer

Data Engineer, Databricks