Junior Data Analyst

Raag Solutions; Florida; On-site; USD 110,000 - 150,000; Full time

Job summary

Raag Solutions LLC in Florida seeks a data engineer focused on data quality to design and implement enterprise data quality frameworks and controls. You will build automated validation, monitoring, and reporting solutions using Databricks, Python, and SQL while delivering PowerBI reports.

Responsibilities include data quality improvements, ETL/ELT pipeline development, and collaboration with governance and business stakeholders to operationalize standards and translate requirements into scalable

Qualifications

• Bachelor's degree in CS, Engineering, IS, or related field.
• 5+ years in Data Engineering or Data Quality roles.
• Strong SQL, Python, Databricks & Spark, and cloud data platforms.

Responsibilities

• Design and implement data quality frameworks and controls.
• Develop automated validation, monitoring, and exception reporting.
• Improve data quality across accuracy, completeness, and timeliness.
• Collaborate with Data Governance to operationalize standards.
• Investigate and resolve data quality issues via root-cause analysis.
• Build and optimize ETL/ELT pipelines with Databricks, Python, SQL.
• Embed validations into ingestion/transformation processes.
• Develop reusable validation components and tests.
• Support cloud data platforms and modernization.
• Maintain CI/CD pipelines and Git-based deployment.

Skills

SQL

Python

Databricks & Spark

Oracle & Cloud data platforms

Git & CI/CD pipelines

Education

Bachelor's degree in CS/Engineering/Info Systems

Tools

PowerBI

Databricks

SQL Developer tools

Job description

3-5 years' experience Must have experience with Databricks, PowerBI and SQL. Need to build your own PowerBI Reports.

Key Responsibilities

• Design and implement enterprise data quality frameworks and controls.
• Develop automated validation, monitoring, and exception reporting solutions.
• Measure and improve data quality across Accuracy, Completeness, Consistency, Validity, Integrity, Uniqueness, and Timeliness.
• Partner with Data Governance teams to operationalize data quality standards.
• Investigate and resolve complex data quality issues through root cause analysis.

Data Engineering

• Build and optimize ETL/ELT pipelines using Databricks, Python, SQL.
• Embed data quality validations into ingestion and transformation processes.
• Develop reusable validation components and automated testing frameworks.
• Support cloud data platforms and modernization initiatives.

DevOps & Collaboration

• Build and maintain CI/CD pipelines and Git-based deployment processes.
• Collaborate with engineers, architects, analysts, and business stakeholders.
• Translate business requirements into scalable technical solutions.
• Present findings and recommendations to technical and business audiences.

Required Qualifications

• Bachelor's degree in Computer Science, Engineering, Information Systems, or related field.
• 5+ years of experience in Data Engineering, Data Quality Engineering, or related roles.
• Strong expertise in:
  • SQL
  • Python
  • Databricks & Spark
  • Oracle and modern cloud data platforms
  • Git and CI/CD pipelines
• Strong analytical, troubleshooting, and root cause analysis skills.
• Excellent communication and stakeholder management abilities.