Assist in the end-to-end recruitment process—from job posting to candidate onboarding. Source candidates through job portals, LinkedIn, referrals, and social media. Conduct initial screening and coordinate interviews with hiring managers..

Marketo Certified Expert Prior Marketo experience 5/+ Velocity Scripting, JS Scripting Knowledge on ABM, MSI, Dynamic Chat, Interactive Webinars Marketo Instance Technical Set up and configurations CRM Integration (Native, Custom)

Ability to develop and implement customer web platforms using front end technologies Strong proficiency in JavaScript, JSON, JSON Schema Detailed knowledge of JavaScript (ES6 ) Expertise in Design systems, Style guides, Pattern libraries

Mandatory skills: Java8 ,spring boot, microservices, Hibernate.

esign and implement scalable, secure, and high-performance data architectures using Azure Databricks and Azure cloud services.Lead the design and deployment of data pipelines leveraging Databricks, Apache Spark, and Azure services.

5+ years of hands-on experience in predictive modeling, analysis and machine learning5+ years of experience in using R, Python, Matlab or similar languagesOrientation in modern standards and technical trends

Hands-on experience in Inspire Designer and Interactive modules. Deep understanding in XML Data Input module, Data transformation, Imposition modules and Layout. Should be able to work on Master Templates (Data definition, Base Template, Style Master

Data Pipelines & ETL Processes: Snowflake Data Modeling:Cloud & On-Prem Solutions: Design and manage cloud-based data infrastructure (AWS, Azure, GCP),Real-Time Data Processing:

A Data Analyst is responsible for gathering, analyzing and problem solving as it relates to data, types of data, and relationships among data elements within a business system or IT system and with business domain expertise.

5+ Years of Experience in Azure Data EngineeringWell versed in Azure Data Engineering: Azure Data Factory, Azure Data Lake, Azure Databricks, Azure Synapse, Databricks, SQL Database etc.Hands-on experience in Python/Pyspark and SQL

Designing and implementing SharePoint solutions in cloud environments like Microsoft Azure or SharePoint Online.Ensuring seamless integration of SharePoint with other cloud services and applications.

Primarily looking for a Data Engineer with expertise in processing data pipelines using Databricks PySpark SQL on Cloud distributions like AWSMust have AWS DatabricksGood to have PySpark Snowflake Talend