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We are seeking an experienced Data Engineer with strong expertise in building and managing data solutions on Azure and Snowflake platforms. The role involves designing, developing, and optimizing data pipelines using Azure Data Factory, PySpark, and Snowflake, implementing data models, and enabling advanced analytics and machine learning capabilities. Key responsibilities include managing Azure Synapse Analytics and ADLS, building Snowflake schemas, integrating Azure Machine Learning models, deploying applications with Azure App Services, and optimizing SQL queries for data transformation and reporting.

Agiloft Consultant

<h2 class="text-2xl md:text-3xl font-bold mt-10 mb-4 border-b pb-2 text-gray-800">Role Overview</h2>We are seeking an experienced Data Engineer with strong expertise in building and managing data solutions on Azure and Snowflake platforms. The ideal candidate will have hands-on experience with Azure Data Factory (ADF), Azure Synapse Analytics, Azure Data Lake Storage (ADLS), Azure Machine Learning, Azure App Services, PySpark, and Snowflake, along with advanced SQL skills. This role involves designing, developing, and optimizing data pipelines, implementing data models, and enabling advanced analytics and machine learning capabilities.<h2 class="text-2xl md:text-3xl font-bold mt-10 mb-4 border-b pb-2 text-gray-800">Key Responsibilities</h2><ul class="list-disc list-inside my-5 pl-5 space-y-2 text-gray-700"><li class="leading-relaxed">Design and develop scalable data pipelines using Azure Data Factory, PySpark, and Snowflake.</li><li class="leading-relaxed">Implement and manage Azure Synapse Analytics and Snowflake for data warehousing and analytics.</li><li class="leading-relaxed">Configure and optimize Azure Data Lake Storage (ADLS) for structured and unstructured data.</li><li class="leading-relaxed">Build and maintain Snowflake schemas, manage data sharing, and optimize query performance.</li><li class="leading-relaxed">Collaborate with data scientists to integrate Azure Machine Learning models into production workflows.</li><li class="leading-relaxed">Develop and deploy applications using Azure App Services for data-driven solutions.</li><li class="leading-relaxed">Write and optimize complex SQL queries for data transformation and reporting across Azure and Snowflake.</li><li class="leading-relaxed">Implement ETL/ELT processes and ensure data quality and governance.</li><li class="leading-relaxed">Monitor and troubleshoot data workflows, ensuring high availability and performance.</li><li class="leading-relaxed">Work closely with business stakeholders to understand requirements and deliver actionable insights.</li></ul><h2 class="text-2xl md:text-3xl font-bold mt-10 mb-4 border-b pb-2 text-gray-800">Required Skills & Qualifications</h2><ul class="list-disc list-inside my-5 pl-5 space-y-2 text-gray-700"><li class="leading-relaxed">6–8 years of experience in data engineering or related roles.</li><li class="leading-relaxed">Hands-on experience with Azure Data Stack</li><li class="leading-relaxed">Strong proficiency in Azure Data Factory, Synapse, ADLS, PySpark, and Snowflake.</li><li class="leading-relaxed">Advanced knowledge of SQL and performance tuning for large-scale data systems.</li><li class="leading-relaxed">Should have done atleast 3 implementations using Azure stack (ADLS / Synapse / Azure app)</li><li class="leading-relaxed">Experience with ETL/ELT processes, data modeling, and data warehousing concepts.</li><li class="leading-relaxed">Familiarity with CI/CD pipelines and DevOps practices for data solutions.</li><li class="leading-relaxed">Excellent problem-solving skills and ability to work in a collaborative environment.</li></ul><h2 class="text-2xl md:text-3xl font-bold mt-10 mb-4 border-b pb-2 text-gray-800">Preferred Qualifications</h2><ul class="list-disc list-inside my-5 pl-5 space-y-2 text-gray-700"><li class="leading-relaxed">Experience with Azure ML would be an added advantage</li><li class="leading-relaxed">Experience with Python for data processing and automation.</li><li class="leading-relaxed">Hands-on experience with Snowflake advanced features (Streams, Tasks, Time Travel, Data Sharing).</li><li class="leading-relaxed">Knowledge of Power BI or other visualization tools.</li><li class="leading-relaxed">Understanding of data governance and security best practices in Azure and Snowflake.</li><li class="leading-relaxed">Certifications such as DP-203: Data Engineering on Microsoft Azure or Snowflake SnowPro Core are a plus.</li></ul><h2 class="text-2xl md:text-3xl font-bold mt-10 mb-4 border-b pb-2 text-gray-800">Spaulding Ridge’s Commitment to an Inclusive Workplace</h2>When we engage the expertise, insights, and creativity of people from all walks of life, we become a better organization, we deliver superior services to clients, and we transform our communities and world for the better.At Spaulding Ridge, we believe our team should reflect the rich diversity of society and we take seriously the responsibility to cultivate a workplace where every bandmate feels accepted, respected, and valued for who they are. We do this by creating a culture of trust and belonging, through practices and policies that support inclusion, and through our employee led Employee Resource Groups (ERGs): CRE (Cultural Race and Ethnicity), Women Elevate, PROUD and Mental Wellness Alliance.The company is committed to offering Equal Employment Opportunity and to providing reasonable accommodation to applicants with physical and/or mental disabilities. If you are interested in applying for employment with Spaulding Ridge and are in need of accommodation or special assistance to navigate our website or to complete your application, please send an e-mail with your request to our VP of Human Resources, Cara Halladay (<a href="mailto:challaday@spauldingridge.com" target="_blank" rel="noopener noreferrer" class="text-blue-600 hover:text-blue-800 hover:underline transition-colors duration-200">challaday@spauldingridge.com</a>). Requests for reasonable accommodation will be considered on a case-by-case basis.Qualified applicants will receive consideration for employment without regard to their age, race, religion, national origin, gender, sexual orientation, gender identity, protected veteran status or disability.

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