Job Title: Mid to Senior-Level Data Analyst/Data Engineer
Location: Remote
Position Summary:
We are seeking a highly skilled Mid to Senior-Level Data Analyst/Data Engineer with expertise
in Azure Databricks, Power BI, and advanced SQL. The ideal candidate will have a strong
background in data modeling, ETL development, and managing end-to-end data processes.
This role also involves working with Azure Data Factory (ADF), ADO and advanced capabilities
in Databricks and Power BI.
Key Responsibilities:
Develop and implement robust data models using facts, dimensions, Snowflake, and
Star Schema principles to support analytics and reporting.
Design, build, and optimize ETL processes to integrate diverse applications into Azure
Data Lake.
Create and manage scalable data pipelines in Azure Data Factory (ADF) while
leveraging Azure DevOps (ADO) for workflow orchestration and automation.
Utilize Databricks to implement and manage Lakehouse architecture, optimize
computes, and configure workflows and triggers for efficient data processing.
Build interactive and insightful Power BI dashboards and reports using custom
templates, calculated columns, DAX, and advanced SQL, while managing direct query
and import modes for optimal performance.
Leverage SQL for advanced querying, including the use of Windows functions and
Common Table Expressions (CTEs), to analyze and transform data effectively.
Write and maintain Python and PySpark code for data transformation and pipeline
enhancement.
Troubleshoot data pipelines and workflows to ensure high reliability, accuracy, and
performance of data operations.
Collaborate with cross-functional teams to translate business requirements into scalable
technical solutions and deliver actionable insights.
Present complex data findings effectively through storytelling, visualization, and clear
communication with both technical and non-technical stakeholders.
Required Skills and Qualifications:
Bachelor’s degree in a relevant field (e.g., Computer Science, Data Science, or related
discipline).
4-5 years of experience in data analysis, engineering, and visualization.
Proficient in SQL (including advanced functions like Windows functions and CTEs) and
NoSQL databases.
Hands-on experience with Azure Cloud services, including Azure Databricks, ADF, and
ADO.
Expertise in Power BI, including DAX, custom templates, calculated columns, and
direct/import modes.
Advanced skills in Python programming and PySpark.
In-depth knowledge of data modeling techniques (Snowflake, Star Schema).
Strong problem-solving abilities and communication skills.
Ability to work both independently and collaboratively on complex projects.
Preferred Qualifications:
Azure Certified Data Analyst or equivalent certification.
Experience with Health care is a plus.
Familiarity with machine learning and predictive analytics is a plus.
Job Type: Full-time
Pay: From $25.00 per hour
Experience:
- Informatica: 1 year (Preferred)
- SQL: 1 year (Preferred)
- Data warehouse: 1 year (Preferred)
Work Location: Remote
