Data Governance, Data Warehousing Concepts, Data integration processes, Non-relational databases, Relational Databases, Data Modeling Techniques and Methodologies, Database design principles, Data quality best practices, Cloud-based data platforms, ETL workflows

ETL & Data Platform, Informatica PowerCenter and/or Informatica Cloud (IICS), Data Warehousing

data engineering , Java, Streaming, BigQuery, Google Cloud Platform, Data Modeling, Dataproc, Sql, Cloud Storage, Data Governance, Python, Etl, Cloud Functions, Cloud Dataflow, Cloud Composer, Messaging

data engineering , Oracle), SQL & Python, Data Warehousing (Redshift, SQL Server, Aws Cloud, Data Pipeline Architecture

Apache Airflow, Azure Data Factory, Databricks, Python, Sql

snowflake , Pyspark, Sql, ELT, Apache Airflow, Git, Spark, Python, Etl, CI CD, Data pipeline orchestration frameworks, DataOps, dbt

Data Engineer, Python, Pyspark, Hadoop, Palantir Foundry, Ontology, Workshop

snowflake , PowerShell, Kafka, Azure Databricks, SSIS, Sql, ELT, Git, Azure Data Factory, Azure Synapse Analytics, Python, Azure DevOps, Etl, Event Hub, Azure Service Bus

BigQuery, Data Modeling, Google Cloud Platform, Apache Spark, Dataproc, Sql, Agile Methodology, ELT, Cloud Storage, Terraform, DataFlow, Data Governance, Kubernetes, Python, Etl, Airflow, CI CD, Data Pipeline Development, Cloud Monitoring

Spark SQL, S3, Cloudformation, Pyspark, Emr, Redshift, Sql, Lambda, Git, Terraform, Iam, Databricks, Python, Infrastructure as Code, CI CD, AWS data services, Glue, DBT Data Build Tool, Athena