Hi Folks,
Hope you are doing well.
This is #Srikanth. We have an immediate opportunity with one of our clients. Please find the job descriptions below, and if you are interested, please forward your updated resume to #battu.s...@interaslabs.com
Role: Senior Power BI Developer / Data Analytics Engineer (AWS & Python)
Location: Trenton, NJ-Hybrid (Need local candidates)
Duration: Long Term
Must have 13+ years of experience
Note: In-person interview or Video
Info: this person will be doing Power BI Development, working with data using Power BI and Python. Must have a strong understanding of data structures. Must have an understanding of Foundation Models. NJ is building a data platform to integrate with an AI solution. This is a data analytics person who has strong Python and Power BI and has worked with the cloud.
Job Description:
We are in need of a Power BI Developer to research, design, develop, and evaluate data that support the creation of reports and dashboards which will be utilized for analytics. This would include the use of visualization tools, artificial intelligence, and machine learning.
The Developer will work with Power BI and Python and have a strong understanding of data structures. This position will work with Bedrock, SageMaker or similar tools to work on our client’s AI solution. ETL and data analysis experience are key to success in this role.
Required Skills:
10 years’ experience with writing Python
10 years’ experience with building data pipelines
5 years’ experience in Data Lakes in an AWS environment
10 years’ experience with reporting tools: Power BI
5 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 — 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 Skills:
Prior experience with AWS Kiro nice to have
5 years experience with using AWS SageMaker or similar
Prior experience with AWS Bedrock and WS QuickSight or similar