We are looking for an experienced SSIS Engineer with Azure Data Factory (ADF) experience to design, develop, migrate, and support enterprise grade data……
We drive value to our customers through constant innovation, using cloud-based solutions and state-of-the-art technologies to deliver product excellence and……
Must be able to convert, break, & distribute existing Python codes to functional programming syntax. We work extensively & intensely on big data, data science,……
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Building applications for machine learning automation that includes automating components included in each of the applications and automating integrated data……
Blend of data engineering, software development, and integration work. Build internal applications and tools that transform raw data into insights.…
Design, develop and test enterprise MarTech platforms for data engineering using SQL, Azure Data engineering skills including Azure Data Factory, Databricks/……
Bachelor's Degree in Computer Science, Information Technology, or a related field with 4yrs of experience. Experience using version control tools such as Git.…
May vary based on technical training, certification(s), or degree. Advana is the Chief Digital and Artificial Intelligence Office’s (CDAO) enterprise-wide,……
Opportunity to own and improve data, reporting, and automation platforms. 3+ years of experience in Data Engineering, Analytics Engineering, Business……
.Serve as the senior technical developer responsible for designing, coding, testing, and deploying data and analytics capabilities across enterprise data……
Specified positions may require possession of a valid Nevada Class C driver's license at time of hire. Residency Requirement: Permanent employees must maintain……
Master’s degree in computer science or related field or a bachelor’s degree in computer science or related field along with four years of relevant experience.…
The knowledge, skills and abilities typically acquired through the completion of a bachelor's degree program or equivalent degree in a field of study related to……
The knowledge, skills and abilities typically acquired through the completion of a bachelor's degree program or equivalent degree in a field of study related to……
Independently and collaboratively lead client engagement workstreams focused on improvement, optimization, and transformation of processes including……
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The AI Agent Data/ML Engineer will design, develop, and operationalize AI agents, large‑scale data pipelines, and machine learning solutions to support……
Bachelor’s degree in Data Science, Electrical/Computer Engineering, Computer Science, or related technical field. This position is incentive plan eligible.…
Degree in a quantitative field (e.g., Engineering, Computer Science, Supply Chain, Business Analytics, Economics) or equivalent experience or evidence of……
Build robust, flexible and automated software tools to complex fleet data analysis, enabling proactive monitoring of fleet behavior to improve field quality and……
As a Facilities Data Engineer, you’ll partner closely with facility engineers, Environment, Health & Safety (EH&S), and manufacturing teams to design and build……
Extract and communicate actionable insights from data and identify field failure trends to support Reliability Engineers in driving product improvements.…
Collaborate closely with project leadership to define and refine scope for Agentic AI (e.g., autonomous agents) and Computer Vision (e.g., real-time detection)……
Present AI capabilities and technical solutions to both technical and non-technical stakeholders. As an experienced engineer, you know how to design, develop,……
It involves technical leadership through code reviews, coaching engineers, documenting standards, and evolving best practices in data architecture.…
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We are looking for an experienced SSIS Engineer with Azure Data Factory (ADF) experience to design, develop, migrate, and support enterprise grade data integration and ETL solutions. The role focuses on modernising data pipelines, ensuring reliable data movement between on premises and cloud platforms, and supporting data driven initiatives. The ideal candidate has strong hands on experience with SQL Server Integration Services (SSIS) and is comfortable operating, migrating, and orchestrating workloads using Azure Data Factory. Key Responsibilities • Design, develop, maintain, and optimise SSIS packages for data extraction, transformation, and loading (ETL). • Migrate and orchestrate existing SSIS workloads using Azure Data Factory (including SSIS Integration Runtime where applicable). • Build and maintain ADF pipelines, datasets, linked services, and triggers. • Integrate data from multiple sources such as SQL Server, Azure SQL, Data Lake, Blob Storage, APIs, and file systems. • Monitor, troubleshoot, and improve data pipeline performance, reliability, and scalability. • Implement logging, error handling, and monitoring best practices across SSIS and ADF solutions. • Collaborate with data architects, analysts, and application teams to translate business requirements into technical solutions. • Support CI/CD processes and version control for data integration assets. • Ensure compliance with data security, governance, and quality standards. Required Skills & Experience • Strong hands on experience with SQL Server Integration Services (SSIS). • Proven experience with Azure Data Factory, including orchestration of SSIS packages. • Solid knowledge of SQL Server / T SQL for data validation and transformations. • Experience working with cloud and hybrid data integration scenarios. • Familiarity with Azure data services (Azure SQL, Azure Storage, Data Lake). • Ability to troubleshoot complex ETL and data pipeline issues. • Good understanding of ETL best practices, performance tuning, and data quality. Nice to Have • Experience migrating legacy SSIS solutions to cloud native ADF pipelines. • Knowledge of Azure Synapse Analytics, Databricks, or other analytics platforms. • Experience with DevOps / CI CD for data pipelines (Azure DevOps, Git). • Exposure to Power BI and downstream analytics use cases. • Previous experience in enterprise or telecom environments. Soft Skills • Strong analytical and problem solving skills. • Clear communication with both technical and non technical stakeholders. • Ability to work independently and within distributed teams. • Results driven and delivery focused mindset.