Work with technical and non-technical stakeholders
Build intuitive and insightful reports and dashboards using visualization platforms like Power BI
Build, deploy or integrate intelligent models and generative AI solutions into business workflows using Amazon SageMaker and AWS Bedrock
Integrate and process structured and unstructured data from various sources
Requirements
sql
python
powerbi
aws
sagemaker
data lakes
2 years experience with SQL
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
5 years experience with writing Python
Solid understanding of AI and machine learning concepts, with practical experience using platforms like Amazon SageMaker and AWS Bedrock
3 years experience in Data Lakes in an AWS environment
Prior experience with AWS Bedrock and WS QuickSight or similar
Knowledge and experience with some of the major CSPs (AWS and Azure)
5 years experience with building data pipelines
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
A combination of technical acuity, problem-solving ability, and business awareness is critical for success in this role
Understands data ingestion from various data sources (APIs, databases, csv, etc.), database structures
Ability to conduct repetitive tasks on a computer, utilizing a mouse, keyboard, and monitor
3 years experience with reporting tools: PowerBI
Experience designing reports, charts, and dashboards using tools such as PowerBI, QuickSight
Sedentary work that involves sitting or remaining stationary most of the time with occasional need to move around the office to attend meetings, etc
Ability to communicate findings effectively to both technical and non-technical stakeholders
Prior experience with AWS Kiro nice to have
2 years experience with using AWS SageMaker or similar
Proficient in Python, SageMaker, Bedrock, Kiro, and other AI services
Benefits
Information not given or found
Training + Development
Information not given or found
Interview process
Information not given or found
Visa Sponsorship
no work authorization sponsorship now or in the future; candidates requiring sponsorship will not be considered.
Security clearance
Information not given or found
Company
Overview
$1.3B Revenue
Annual Revenue
Generates $1.3 billion in annual revenue, reflecting consistent growth over four decades.
Four Decades
Years in Operation
Operates for over 40 years, demonstrating long-term stability and growth.
Applies expertise in IT services and consulting to modernize legacy systems and secure infrastructure.
Portfolio includes application development, managed services, AI-driven data analytics, and cybersecurity.
Typically handles public-sector digital transformation and commercial IT modernization efforts.
Recognized as a top employer and leader in application modernization services.
Culture + Values
Innovative mindset: Embrace new ideas and technologies to deliver the best solutions.
Collaboration: Work together, fostering teamwork across all levels.
Customer-focused: Understand and exceed customer expectations with tailored solutions.
Integrity: Operate with transparency, honesty, and respect.
Continuous improvement: Always strive to grow, learn, and adapt to new challenges.
Environment + Sustainability
2040
Net-zero commitment
This refers to the company's objective of achieving net-zero emissions by the year 2040. The goal represents a significant environmental commitment to reducing carbon impact.
Focuses on reducing energy consumption and improving efficiency across all operations.