Compunnel Inc.

Power BI Developer -- MAZDC5698851

⭐ - 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.
🌎 - Country
United States
πŸ’± - Currency
$ USD
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πŸ’° - Day rate
Unknown
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πŸ—“οΈ - Date
January 6, 2026
πŸ•’ - Duration
Unknown
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🏝️ - Location
Unknown
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πŸ“„ - Contract
Unknown
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πŸ”’ - Security
Unknown
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πŸ“ - Location detailed
Trenton, NJ
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🧠 - 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 years’ experience with writing Python 5 years’ experience with building data pipelines 3 years’ experience in Data Lakes in an AWS environment 3 years’ experience with reporting tools: Power BI 2 years’ 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 years’ experience with using AWS SageMaker or similar Prior experience with AWS Bedrock and WS QuickSight or similar