Talascend
Talascend is currently seeking a hybrid
Software Engineer
for a W-2 contract opportunity with our client in
Glendale, Arizona .
Overview This critical role will focus on designing, developing, and optimizing our data infrastructure within the Azure cloud environment. The ideal candidate possesses a deep understanding of data engineering principles and extensive hands-on experience with Azure Data Lake, Azure Data Factory, Databricks, and SAP Business Objects.
Hybrid Schedule
3 days on-site. 2 days remote.
Responsibilities
Design, develop, and optimize scalable and efficient data processing pipelines and architectures within Azure Data Lake and Databricks. Implement and manage complex ETL processes to seamlessly integrate data from diverse sources into Azure Data Lake. Develop and maintain interactive dashboards and reports using SAP Business Objects and Power BI. Leverage Azure Data Factory for data orchestration, workflow automation, and scheduling. Implement and maintain Azure Security & Governance policies. Optimize data storage and retrieval mechanisms within Azure. Collaborate effectively with cross-functional teams to understand business requirements. Implement data quality checks and validation rules throughout the data pipeline. Monitor, troubleshoot, and enhance existing data solutions. Create and maintain comprehensive technical documentation. Qualifications
US Citizenship required. Bachelor's degree in computer science, engineering, or a related field and 2-5 years of experience or 5+ years of relevant work experience. 4+ years of hands-on experience in data engineering, data warehousing, and cloud-based data platforms. Deep expertise in Azure Data Lake, Azure Data Factory, Azure Security & Governance, Databricks, and SAP Business Objects. Strong proficiency in SQL, including complex query writing, query optimization, and performance tuning. Proven experience in developing and maintaining Power BI dashboards and reports. Hands-on experience with Azure services such as Azure Synapse Analytics, Azure SQL Database, and Azure Blob Storage. Solid understanding of data modeling concepts, ETL processes, and big data frameworks. Experience in optimizing and managing large-scale datasets in cloud environments. Experience developing and maintaining ETL packages using SSIS and reports using SSRS. Strong analytical and problem-solving skills with a keen attention to detail. Excellent communication and collaboration skills. Familiarity with machine learning models and data science concepts. Understanding of DevOps practices and CI/CD pipelines for data applications. Experience with data governance tools and frameworks. Experience with other cloud platforms.
We thank all applicants for their interest. However, only those qualified individuals who closely meet the qualifications of the position will be contacted. The details of the position are only a summary, other duties may be assigned as necessary.
Background Check and Drug Screen may be required.
Software Engineer
for a W-2 contract opportunity with our client in
Glendale, Arizona .
Overview This critical role will focus on designing, developing, and optimizing our data infrastructure within the Azure cloud environment. The ideal candidate possesses a deep understanding of data engineering principles and extensive hands-on experience with Azure Data Lake, Azure Data Factory, Databricks, and SAP Business Objects.
Hybrid Schedule
3 days on-site. 2 days remote.
Responsibilities
Design, develop, and optimize scalable and efficient data processing pipelines and architectures within Azure Data Lake and Databricks. Implement and manage complex ETL processes to seamlessly integrate data from diverse sources into Azure Data Lake. Develop and maintain interactive dashboards and reports using SAP Business Objects and Power BI. Leverage Azure Data Factory for data orchestration, workflow automation, and scheduling. Implement and maintain Azure Security & Governance policies. Optimize data storage and retrieval mechanisms within Azure. Collaborate effectively with cross-functional teams to understand business requirements. Implement data quality checks and validation rules throughout the data pipeline. Monitor, troubleshoot, and enhance existing data solutions. Create and maintain comprehensive technical documentation. Qualifications
US Citizenship required. Bachelor's degree in computer science, engineering, or a related field and 2-5 years of experience or 5+ years of relevant work experience. 4+ years of hands-on experience in data engineering, data warehousing, and cloud-based data platforms. Deep expertise in Azure Data Lake, Azure Data Factory, Azure Security & Governance, Databricks, and SAP Business Objects. Strong proficiency in SQL, including complex query writing, query optimization, and performance tuning. Proven experience in developing and maintaining Power BI dashboards and reports. Hands-on experience with Azure services such as Azure Synapse Analytics, Azure SQL Database, and Azure Blob Storage. Solid understanding of data modeling concepts, ETL processes, and big data frameworks. Experience in optimizing and managing large-scale datasets in cloud environments. Experience developing and maintaining ETL packages using SSIS and reports using SSRS. Strong analytical and problem-solving skills with a keen attention to detail. Excellent communication and collaboration skills. Familiarity with machine learning models and data science concepts. Understanding of DevOps practices and CI/CD pipelines for data applications. Experience with data governance tools and frameworks. Experience with other cloud platforms.
We thank all applicants for their interest. However, only those qualified individuals who closely meet the qualifications of the position will be contacted. The details of the position are only a summary, other duties may be assigned as necessary.
Background Check and Drug Screen may be required.