Job description

Azure Data Engineer 💰 Salary: 100,000 - 125,000 USD per year At Kane Partners LLC we are looking for a Data engineer! 🛠️ Our tech stack: Azure, ETL, Machine Learning, Python, Web, Cloud, Data 📝 Rquirements: - A strong knowledge of Azure is essential. - ETL experience, including ingestion, data cleansing, and transformation. - Experience in ETL/Pipeline Development using tools such as Azure Databricks and Azure Data Factory with expertise in batch and real-time data integration. - Proficiency in writing code using Python to deploy web services. - An understanding of machine learning concepts is a valued skill. - 4 years of experience creating resources and deploying solutions in Azure is required. - Must reside within a commutable distance of Bucks County, PA, as this is not a remote role. 👩‍💻👨‍💻 Your responsibilities are: - Validate the data transferred to ensure accuracy. - Schedule and monitor data pipelines and automate scripts. - Apply data modeling concepts and performance tuning for the pipeline. - Ensure that our data is of the highest quality and is easily accessible for reporting and analysis. - Collaborate with new clients to facilitate a seamless onboarding process. - Assist in resolving data quality issues using error detection, correction strategies, and process improvement measures. - Identify opportunities for efficiencies in work processes and innovate approaches to complete tasks effectively. View this job and over 500 other transparent jobs with salaries (💰💰💰) & tech stacks (🛠️) on DevITjobs Category: Data Developer / Engineer Location address: Spring Garden Street 2500, Philadelphia, United States Salary: 100,000 - 125,000 USD per year Benefits & perks that we offer: Kane Partners LLC - More about us and the role: We offer a full-time position with a salary range of $100,000 to $125,000 per year. Our benefits package includes 401(k) and matching, dental insurance, flexible scheduling, health insurance, life insurance, paid time off, parental leave, professional development assistance, relocation support, tuition reimbursement, and vision insurance. The work schedule is Monday to Friday, with 8-hour shifts. We ask applicants if they require authorization to work in the United States. Are you looking for Data jobs in Philadelphia?

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