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About Us We are a global climate technologies company engineered for sustainability. We create sustainable and efficient residential, commercial and industrial spaces through HVACR technologies. We protect…
Your Role We are looking for a Customer Engineering Manager who will be largely responsible for leading and supervising a team of data engineers as they develop, test, modify, and deliver solutions to US Healthcare…
Own the multi-year vision for store selling insights, migrating from desktop BI to mobile-first, AI-powered analytics that empower store leaders to make data-driven decisions.
The Business Analyst will manage regulatory tax reporting projects within a private banking environment, acting as a bridge between business users and IT teams. The role requires deep expertise in banking operations, tax regulations, and technical proficiency in SQL and Excel.
6-month UAT contract validating data accuracy and system functionality across data ingestion, transformation, and dashboard reporting workflows using SQL and ETL knowledge.
The Senior Data Engineer will design and manage autonomous, production-grade ETL/ELT pipelines using Python, PySpark, and SQL Server. The role involves implementing lakehouse architectures, deploying containerized solutions via Kubernetes, and ensuring robust data governance and CI/CD practices.
The Senior Data Engineer will lead the development of Xiaomi's data platform, designing scalable infrastructure and DaaS solutions to support analytics and data science teams. The role involves optimizing data pipelines, implementing data governance, and mentoring junior engineers using technologies like Flink, Iceberg, and Doris.
The Data Engineer will design, build, and maintain scalable data pipelines and architecture for Finance stakeholders using Databricks and Google Cloud Platform. The role focuses on ingesting, processing, and transforming large-scale datasets to support analytical and operational requirements.
Lead Data Engineer designing and building scalable data pipelines and data services using Hadoop, Ab Initio, EXADATA, and cloud platforms (AWS/Azure/GCP) to support enterprise risk management and business intelligence at a major bank.
Build, deploy, and optimize data warehouses, data lakes, and ETL pipelines using SQL, Python, and cloud-based data platforms like Snowflake for Fortune 500 clients.
The Databricks Data Engineer will design and implement scalable ETL/ELT pipelines and Lakehouse architectures to support advanced analytics and AI use cases for clients. This role requires deep expertise in the Databricks ecosystem, including Spark, Delta Lake, and Unity Catalog, to build robust, secure, and governed data solutions.
The Snowflake Data Engineer will design, build, and maintain secure, high-performing data pipelines and architectures for clients using Snowflake and cloud-native platforms. This role involves collaborating with cross-functional teams to deliver scalable data solutions and advanced analytics capabilities.
The Databricks Data Engineer will design and implement scalable data pipelines and Lakehouse architectures to support advanced analytics and AI use cases for clients. This role involves working with the Databricks platform, cloud-native environments, and ETL/ELT workflows to deliver robust, secure data solutions.
The Snowflake Data Engineer will design, build, and maintain secure, high-performing data pipelines and ecosystems for clients. The role involves collaborating with cross-functional teams to implement ETL/ELT processes and advanced analytics solutions using Snowflake and cloud-native technologies.
The Data Engineer will design, develop, and maintain an enterprise data platform using Snowflake and Azure Data Factory. They will build scalable data pipelines and transformation processes to support reporting and analytics in Power BI.
The Lead Data Engineer will shape the technical direction of a Microsoft Fabric environment and manage data pipelines from ERP, CRM, and digital sources. The role involves mentoring engineers and improving data engineering standards within a cloud-based Azure platform.
The Analytics Application Developer is a full-stack engineer responsible for building data-driven applications and visualization tools using the MERN/MEAN stack and Python FastAPI. The role involves designing microservices and responsive UIs to bridge the gap between data analytics and software development.
The Data Engineer will design and maintain scalable ETL/ELT pipelines using Databricks, Python, Spark, and SQL to support analytics and AI/ML workloads. The role also involves modernizing existing Microsoft-based data environments, including SQL Server, SSIS, and SSRS.
Perficient's Adobe practice is a Platinum partner with eight specializations and three hundred-plus practitioners across the US, Latin America, and India. Your area covers customer data and identity, orchestration,…
Data Engineer designing and maintaining ETL/ELT pipelines in Databricks (Python, Spark, SQL) to power reporting, analytics, and AI/ML workloads while modernizing legacy SQL Server/SSIS/SSRS infrastructure.
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