

Compunnel Inc.
Power BI Developer -- MAZDC5698851
β - Featured Role | Apply direct with Data Freelance Hub
This role is for a Power BI Developer with a contract length of "unknown," offering a pay rate of "unknown." Key skills include 5 years of Python and data pipeline experience, 3 years in AWS Data Lakes, and proficiency in Power BI.
π - Country
United States
π± - Currency
$ USD
-
π° - Day rate
Unknown
-
ποΈ - Date
January 6, 2026
π - Duration
Unknown
-
ποΈ - Location
Unknown
-
π - Contract
Unknown
-
π - Security
Unknown
-
π - Location detailed
Trenton, NJ
-
π§ - Skills detailed
#Data Lake #Data Pipeline #AWS SageMaker #Data Lifecycle #Microsoft Power BI #Azure #SageMaker #AWS (Amazon Web Services) #ML (Machine Learning) #Python #Data Ingestion #AI (Artificial Intelligence) #BI (Business Intelligence) #Visualization #"ETL (Extract #Transform #Load)" #Databases #SQL (Structured Query Language)
Role description
Sales Representative -- Anindya Mazumdar
What You'll Do
Build intuitive and insightful reports and dashboards using visualization platforms like Power BI
Integrate and process structured and unstructured data from various sources
Build, deploy or integrate intelligent models and generative AI solutions into business workflows using Amazon SageMaker and AWS Bedrock
Work with technical and non-technical stakeholders
What You'll Need
Required:
5 yearsβ experience with writing Python
5 yearsβ experience with building data pipelines
3 yearsβ experience in Data Lakes in an AWS environment
3 yearsβ experience with reporting tools: Power BI
2 yearsβ experience with SQL
Knowledge and experience with some of the major CSPs (AWS and Azure)
Experience designing reports, charts, and dashboards using tools such as Power BI, QuickSight
Proficient in Python, SageMaker, Bedrock, Kiro, and other AI services
Understands data ingestion from various data sources (APIs, databases, csv, etc.), database structures
Data-driven professional with a strong analytical mindset and hands-on experience in the full data lifecycle β from ingestion and transformation to visualization and advanced analytics
Proficient in integrating and processing structured and unstructured data from various sources, leveraging tools such as SQL, Python, or ETL frameworks
Expertise in building intuitive and insightful reports and dashboards using visualization platforms like Power BI is essential
Ability to communicate findings effectively to both technical and non-technical stakeholders
Solid understanding of AI and machine learning concepts, with practical experience using platforms like Amazon SageMaker and AWS Bedrock
A combination of technical acuity, problem-solving ability, and business awareness is critical for success in this role
Preferred:
Prior experience with AWS Kiro nice to have
2 yearsβ experience with using AWS SageMaker or similar
Prior experience with AWS Bedrock and WS QuickSight or similar
Sales Representative -- Anindya Mazumdar
What You'll Do
Build intuitive and insightful reports and dashboards using visualization platforms like Power BI
Integrate and process structured and unstructured data from various sources
Build, deploy or integrate intelligent models and generative AI solutions into business workflows using Amazon SageMaker and AWS Bedrock
Work with technical and non-technical stakeholders
What You'll Need
Required:
5 yearsβ experience with writing Python
5 yearsβ experience with building data pipelines
3 yearsβ experience in Data Lakes in an AWS environment
3 yearsβ experience with reporting tools: Power BI
2 yearsβ experience with SQL
Knowledge and experience with some of the major CSPs (AWS and Azure)
Experience designing reports, charts, and dashboards using tools such as Power BI, QuickSight
Proficient in Python, SageMaker, Bedrock, Kiro, and other AI services
Understands data ingestion from various data sources (APIs, databases, csv, etc.), database structures
Data-driven professional with a strong analytical mindset and hands-on experience in the full data lifecycle β from ingestion and transformation to visualization and advanced analytics
Proficient in integrating and processing structured and unstructured data from various sources, leveraging tools such as SQL, Python, or ETL frameworks
Expertise in building intuitive and insightful reports and dashboards using visualization platforms like Power BI is essential
Ability to communicate findings effectively to both technical and non-technical stakeholders
Solid understanding of AI and machine learning concepts, with practical experience using platforms like Amazon SageMaker and AWS Bedrock
A combination of technical acuity, problem-solving ability, and business awareness is critical for success in this role
Preferred:
Prior experience with AWS Kiro nice to have
2 yearsβ experience with using AWS SageMaker or similar
Prior experience with AWS Bedrock and WS QuickSight or similar





