Database Engineer
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Role details
Tech stack
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Job description
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Develop, maintain, and enhance staffing and workforce planning models.
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Build and optimize data pipelines using Azure Data Factory (ADF) and related Azure services.
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Develop analytical solutions and automation using SQL and Python.
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Manage and support Azure SQL environments, including database administration, monitoring, and performance tuning.
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Support data integrations, ETL processes, and reporting solutions.
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Work with tabular data models, including SSAS cubes.
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Ensure data quality, reliability, and scalability across planning and reporting platforms.
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Partner with business stakeholders to translate workforce planning requirements into analytical solutions.
Requirements
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Advanced SQL development and database design expertise
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Strong Python programming skills for data analysis, automation, and data engineering tasks
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Experience with Azure SQL Database administration, performance tuning, and troubleshooting
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Azure Data Factory (ADF) pipeline development and maintenance
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Experience building and maintaining analytical and forecasting models
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Familiarity with SQL Server Analysis Services (SSAS) cubes and dimensional modeling
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Understanding of Azure data platform services and cloud-based data architectures
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Strong analytical, troubleshooting, and communication skills
Education/Experience:
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Bachelor’s degree in a technical field such as computer science, computer engineering or related field required
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5+ years applicable experience required
Explain a typical day in the role.:
-
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.
What is required:
-
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, * Azure
- Python
- Data Analysis SQL
- Data Analysis
Benefits & conditions
Pulled from the full job description
- Health insurance
- Paid time off
- Vision insurance
- Dental insurance
- Life insurance
- Disability insurance
- Paid holidays, Salary and Other Compensation: The annual [salary/hourly rate] for this position is between [$145,000 - 176,000 annually]. Factors which 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] [life insurance] [long-term disability insurance] [short-term disability insurance]. The Paid time off benefits meet the paid sick and safe time laws that pertains to the City/ State] [10-15 days of paid vacation time] [6 paid holidays and 1 floating holiday per calendar year] [Ascendion Learning Management System]
About the company
Ascendion is an AI-native software engineering disruptor helping businesses innovate faster, smarter, and with greater impact. We partner with enterprise clients across North America, the UK, Europe, and APAC to solve complex challenges in data, experience design, software product engineering, and workforce transformation. Powered by expert engineers, thousands of AI agents, and our Engineering to the Power of AI (EngineeringAI) method, we deliver measurable outcomes that build trust, unlock value, and accelerate growth.
Learn more at https://ascendion.com/ .
Engineering to the Power of AI , AAVA , Engineering AI , Engineering to Elevate Life , Enterprise Platforms AI , Data & Insights AI , Experience AI , GCC AI , Operations AI , Platform Engineering AI , Product AI , and Quality Engineering AI are trademarks or service marks of Ascendion ® . AAVA is pending registration. Unauthorized use is strictly prohibited.
| 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 the 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., 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.
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