Search the 11 jobs at Anblicks

Responsible for developing and implementing microservices using Java and Spring Boot. Collaborate with architects and technical leads to design microservice architectures. Design RESTful APIs and ensure scalability, reliability, and performance of microservices.

Lead in setting goals, providing guidance, and ensuring team alignment with business objectives. Design, develop, architect, implement, and support complex solutions and applications using various technologies. Stay up to date with emerging technologies and evaluate their potential impact. Mentor and train Solutions Architects in technical skills. Drive innovation and develop solutions that are innovative and practical.

Lead design and delivery of end-to-end data analytics solutions. Conduct technical POCs on data analytics and AI/ML technologies. Design business intelligence reports, interactive dashboards, and KPI scorecards using Power BI. Identify business trends, anomalies, and insights. Work with other data science and analytics teams to create and implement data strategies, design data pipelines, and develop data models and products. Provide thought leadership in analytics platforms, business intelligence, data management, and Big Data.

Provide enterprise-level architectural solutions for applications using MS Stack technologies/concepts. Assess business requirements and provide design leadership to address impact analysis to process flows, systems, and applications. Technically lead and mentor Data Architects & Engineers building end to end Enterprise Data & BI solutions.

The Senior Sales Executive will be responsible for building and maintaining client relationships, initiating technical solution conversations, and driving sales growth. They should have strong communication and organization skills, as well as the ability to proactively pursue opportunities.

Responsible for ingesting and preparing business-ready data in the cloud, building ELT/ETL data pipelines, and creating data lake zones for analytics. Utilize Azure services such as Data Factory, Databricks, Synapse Analytics, and Cosmos DB. Design and customize dimension data models and implement complex stored procedures. Use Spark applications and Python for efficient analytics on large datasets. Create data visualizations in Power BI. Maintain GIT repositories and access control procedures. Implement CI/CD using Azure DevOps pipelines.

Responsible for revenue growth within BizApp Services. Interacts with senior management levels at a client, negotiates or influences significant matters, and works closely with C-suite clients to close large BizApp deals. Acts as a sales overlay, pre-sales support specialist, and industry expert. Develops and maintains exceptional business relationships with key client stakeholders.

Principally develops application in Angular, NodeJS, HTML, JavaScript, TypeScript. Architect, Design, and implement MarketIQ-DIG platform, supporting growth & expansion to other countries. Full stack development awareness experience is a plus.

The Data Analytics Senior Analyst will be a Tableau Report Developer responsible for managing the lifecycle of Tableau analytics dashboards, creating powerful dashboards, and designing and implementing processes and standards to aid in report development and support.

Position: Project Manager

Location: Ankeny, Iowa.

Duration: Long Term Contract

Job Description:

• We are looking for a PMP Certified Project Manager.
• Need someone with Food/Delivery industry background would be plus.

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The Azure Data Architect will be responsible for developing data solutions using Microsoft technologies such as SSIS, ADF, SSAS, SQL Server, and Azure SQL/Synapse. They should have experience working with key stakeholders to understand requirements and propose and implement technology solutions. Strong data warehousing, data modeling, and source-destination system connector skills are required. Experience with SQL Data Warehouse, Azure Synapse, and SSIS is also necessary. Knowledge of cloud concepts and experience with Azure Databricks, Python, C#, Power BI, Azure Analysis Services, and Snowflake Cloud Data Platform is a plus.