data engineering , Kafka, Azure Data Factory, Azure Synapse Analytics, Spark, Databricks, Dax, Python, Azure DevOps, Purview, R, Microsoft Fabric

Power Bi, Apache Spark, Databricks, Azure, Python, Sql, SODA or equivalent data quality observability tools, CI CD for data pipelines, Delta Lake, Atlan or similar data catalog and metadata platforms

Cloud Infrastructure, Python, AWS, CI/CD Pipelines, Deployment Frameworks

Google Cloud Platform, Scala, Pyspark, Json, Avro, Sql, Git, Spark, Python, Google DataFlow, Google BigQuery, PARQUET

snowflake , Databricks, Microservices, Automated Testing, Reactjs, Azure, Git, Oracle Pl Sql, CI CD integration, distributed processing frameworks, frontend technologies, data pipelines, data Lakehouse, containerized applications, AI tools

snowflake , Algorithms, Databricks, Microservices, Automated Testing, Reactjs, Accessibility, Agile Methodologies, Coding Standards, Azure, Git, Oracle Pl Sql, data structures, CI CD integration, distributed processing frameworks, data pipelines, frontend architecture design patterns, data Lakehouse, modern frontend technologies, containerized applications, unit testing strategies, AI tools, UI performance optimization

snowflake , Algorithms, Databricks, Microservices, Automated Testing, Reactjs, Agile Methodologies, Coding Standards, Azure, Git, Oracle Pl Sql, data structures, CI CD integration, distributed processing frameworks, data pipelines, frontend architecture design patterns, data Lakehouse, modern frontend technologies, containerized applications, AI tools

, Identity Management, Agile Development, Data Warehousing, Oauth, Data Modelling, Cloud security, Software Engineering, Cloud Technologies, Sso, ETL processes, Customer 360 degree views, Master data management, Data technologies

Python, Sql, Pyspark, Google Cloud Platform, BigQuery, DataFlow, Dataproc