Remote Senior Data Analyst, Lakehouse & Data Pipelines

Brilliant Infotech Inc.; United States; Hybrid; USD 100,000 - 130,000; Full time

Job summary

Brilliant Infotech Inc. is seeking a highly skilled Senior Data Analyst to design, develop, and support data-driven solutions. This remote role requires occasional office visits and focuses on building high-performing data pipelines within a cloud-based data ecosystem.

The ideal candidate should have over 7 years of experience, particularly in data modeling and analysis, and be proficient with tools such as Python, Spark, and Databricks. Strong problem-solving skills and familiarity with Agile methodologies are preferred.

Qualifications

• 7+ years of professional experience in Data Analyst or similar role.
• Strong background in data modeling and application analysis.
• Hands-on experience with Databricks and PySpark.
• Proficiency in Spark and Python, including scripting.
• Experience with data visualization tools like Starburst or Tableau.
• Familiarity with Agile methodologies or SAFe framework.

Responsibilities

• Act as primary point of contact for technical support related to data.
• Oversee application releases, including production monitoring.
• Contribute to testing strategies and evaluate system performance.
• Maintain accurate documentation including project timelines.
• Identify opportunities to enhance processes and recommend improvements.
• Facilitate communication between stakeholders and development teams.
• Coordinate cross-functional activities to ensure timely delivery.
• Track user interactions and issues for reporting and analysis.
• Review proposed solutions for system issues and improve strategies.

Skills

Data modeling

Application analysis

Python

Spark

Databricks

Tableau

Starburst

Collibra

Alteryx

R

Tools

Jira

Job description

Brilliant Infotech Inc. is seeking a highly skilled Senior Data Analyst to design, develop, and support data-driven solutions. This remote role requires occasional office visits and focuses on building high-performing data pipelines within a cloud-based data ecosystem.

The ideal candidate should have over 7 years of experience, particularly in data modeling and analysis, and be proficient with tools such as Python, Spark, and Databricks. Strong problem-solving skills and familiarity with Agile methodologies are preferred.