About Ascendion :
Ascendion is a full service digital engineering solutions company. We make and manage software platforms and products that power growth and deliver captivating experiences to consumers and employees. Our engineering, cloud, data, experience design, and talent solution capabilities accelerate transformation and impact for enterprise clients. Headquartered in New Jersey, our workforce of 6,000+ Ascenders delivers solutions from around the globe. Ascendion is built differently to engineer the next.
Ascendion | Engineering to elevate life
We have a culture built on opportunity, inclusion, and a spirit of partnership. Come, change the world with us:
Build the coolest tech for world’s leading brands
Solve complex problems - and learn new skills
Experience the power of transforming digital engineering for Fortune 500 clients
Master your craft with leading training programs and hands-on experience
Experience a community of change makers!
Join a culture of high-performing innovators with endless ideas and a passion for tech. Our culture is the fabric of our company, and it is what makes us unique and diverse. The way we share ideas, learning, experiences, successes, and joy allows everyone to be their best at Ascendion.
• Develop, maintain, and enhance staffing and workforce planning models.
• Build and optimize data pipelines using Azure Data Factory (ADF) and related Azure services.
• Develop analytical solutions and automation using SQL and Python.
• Manage and support Azure SQL environments, including database administration, monitoring, and performance tuning.
• Support data integrations, ETL processes, and reporting solutions.
• Work with tabular data models, including SSAS cubes.
• Ensure data quality, reliability, and scalability across planning and reporting platforms.
• Partner with business stakeholders to translate workforce planning requirements into analytical solutions.
Required Skills
• Advanced SQL development and database design expertise
• Strong Python programming skills for data analysis, automation, and data engineering tasks
• Experience with Azure SQL Database administration, performance tuning, and troubleshooting
• Azure Data Factory (ADF) pipeline development and maintenance
• Experience building and maintaining analytical and forecasting models
• Familiarity with SQL Server Analysis Services (SSAS) cubes and dimensional modeling
• Understanding of Azure data platform services and cloud-based data architectures
• Strong analytical, troubleshooting, and communication skills.
• Build and optimize data pipelines using Azure Data Factory (ADF) and related Azure services.
• Develop analytical solutions and automation using SQL and Python.
• Manage and support Azure SQL environments, including database administration, monitoring, and performance tuning.
• Support data integrations, ETL processes, and reporting solutions.
• Work with tabular data models, including SSAS cubes.
• Ensure data quality, reliability, and scalability across planning and reporting platforms.
• Partner with business stakeholders to translate workforce planning requirements into analytical solutions.
• Strong Python programming skills for data analysis, automation, and data engineering tasks
• Experience with Azure SQL Database administration, performance tuning, and troubleshooting
• Azure Data Factory (ADF) pipeline development and maintenance
• Experience building and maintaining analytical and forecasting models
• Familiarity with SQL Server Analysis Services (SSAS) cubes and dimensional modeling
• Understanding of Azure data platform services and cloud-based data architectures
• Strong analytical, troubleshooting, and communication skills.
• Strong Python programming skills for data analysis, automation, and data engineering tasks
• Experience with Azure SQL Database administration, performance tuning, and troubleshooting
• Azure Data Factory (ADF) pipeline development and maintenance
• Experience building and maintaining analytical and forecasting models
• Familiarity with SQL Server Analysis Services (SSAS) cubes and dimensional modeling
• Understanding of Azure data platform services and cloud-based data architectures
• Strong analytical, troubleshooting, and communication skills
Education/Experience:
• Bachelor's degree in a technical field such as computer science, computer engineering or related field required
• 5+ years of applicable experience required.
Salary Range: $1,62,000 - 1,72,000 Annually -Factors that may affect pay within this range may include geography/market, skills, education, experience, and other qualifications of the successful candidate.
Benefits: The Company offers the following benefits for this position, subject to applicable eligibility requirements: [medical insurance] [dental insurance] [vision insurance] [401(k) retirement plan] [long-term disability insurance [short-term disability insurance] [5 personal days accrued each calendar year. The paid time off benefits meet the paid sick and safe time laws that pertain to the City/ State] [10-15 days of paid vacation time] [6 paid holidays and 1 floating holiday per calendar year]
Want to change the world? Let us know.
Tell us about your experiences, education, and ambitions. Bring your knowledge, unique viewpoint, and creativity to the table. Let’s talk!
Preferred Skills
- Data Analysis
- Python
- SQL Azure
- SQL
Job details
About Ascendion
Ascendion is a full-service digital engineering solutions company. We make and manage software platforms and products that power growth and deliver captivating experiences to consumers and employees.
Our engineering, cloud, data, experience design, and talent solution capabilities accelerate transformation and impact for enterprise clients. Headquartered in New Jersey, our workforce of 6,000+ Ascenders delivers solutions from around the globe. Ascendion is built differently to engineer the next.
