BigQuery, DataFlow, Advanced Sql, Python, Logging, Dataform, Batch and streaming data processing, Data Catalog, Cloud Monitoring, Data lakehouse architecture concepts, Pub Sub, Dataplex, IAM Security controls, Java or Scala, Data ingestion frameworks, Analytics Hub, Data modeling and warehousing principles, CDC and incremental processing

Spark SQL, Hive, Hadoop, Pyspark, Sql, Big Data Eco System Tools, object-oriented programming, HDFS

Power Bi, Apache Spark, AWS Glue, Tableau, Sql, Azure Data Factory, Docker, Azure, Python, Kubernetes, DevOps methodologies, Data governance frameworks, Matillion, Looker, Synapse, dbt, Data quality tools

Data Factory, Continuous Delivery, Pyspark, Kafka, Sql, Azure Sql, Continuous Integration, Pandas, Databricks, Python, Azure DevOps, ADLS gen2, Azure Key Vault, Microsoft Azure data services, Agile practices, Event Hubs, Delta Lake

Databricks, Python, Sql

Quicksight, Data Modeling, Sql, Database Architecture, Etl, Cradle, Datanet, big data solutions

Power Bi, Vb Scripting, Python, Sql, Etl, data integration tools, cloud-based data solutions

Nosql, Data Security, Data Quality, Data Governance, Sql, Real-time data processing, Data pipelines, data models

snowflake , Pyspark, Data Governance, ELT, Star Schema, Performance Monitoring, Python, AWS, Data Profiling, Unit Testing, Automation, Sql, Metadata Management, Git, Spark, Databricks, Etl, Snowflake schema, Optimization, Denormalization, Containerized workloads, HPC environments, Lineage monitoring, Normalization, Palantir Foundry, Large Language Models, AI-assisted data engineering, Automated data quality assessments

snowflake , S3, Data Architecture, Emr, Redshift, Sql, Lambda, Gcp, Spark, Data Integration, Azure, Python, AWS, Data Processing, Claude, Code Cursor, GitHub Copilot, AI coding tools, Glue