Mandatory Skills - DAX, Power BI ADF, Databricks Synapse Semantic layers Snowflake Star Schema Job Description: Design and develop robust, scalable data pipelines using Azure Data Factory and Azure Databricks.Build and maintain data models (including tabular and semantic models) for analytics and reporting across business domains.Develop and optimize SQL and PySpark scripts for data ingestion, transformation, and quality checks.Leverage Azure Synapse Analytics for data warehousing solutions and
This is a Full time roleNo C2C Title: Google Cloud Data EngineerWe are looking for a Google Cloud Data Engineer, They will be responsible for building a solid Data Integration pipelines by integration various source data which will enable data delivery in near real-time using next-gen technologies.Roles and Responsibilities:Design, develop, and maintain scalable data pipelines on Google Cloud Platform (Google Cloud Platform).Implement data processing solutions using Google Cloud Platform service
Position: Data Engineer with Palantir Foundry experience Location: Remote Contract JD: Experience in Palantir Foundry.Proficient in programming languages such as Python and SQL for database querying and manipulation.Strong understanding of AWS services related to data engineering, such as Amazon S3, Amazon Redshift, Amazon Aurora Postgres, AWS Glue, AWS Lambda, AWS Step Function, AWS Lake Formation, Amazon Data Zone, Amazon Kinesis, MSK, and Amazon EMR.Knowledge of database design principles an
