data engineering , Data Pipeline, Azure, Sql, Etl, Architecture, Fabric

Informatica Data Quality, Data Governance, Data migration techniques, ETL processes, Data pipelines, Optimizing data workflows

S3, Aws Lambda, T-sql, AWS Glue, SSIS, Sql, ELT, Azure Synapse, Azure Data Factory, Pl-sql, Python, Etl, Azure SQL Database, Azure Data Lake Storage, AWS Data Services, Lake Formation, ADLS, DataZone, Athena, Microsoft Fabric, Fivetran, Azure Data Services

Python, Advanced Sql, CDC and incremental processing, Java or Scala preferred, Dataflow batch streaming pipelines, BigQuery advanced optimization and tuning, Scripting and automation, Batch and streaming data processing, IAM Security controls, Data modeling and warehousing principles, Data lakehouse architecture concepts, ETL ELT pipeline design and implementation, Google Cloud Platform GCP, Data ingestion frameworks config-driven approach preferred, Cloud Storage GCS, Dataform SQL-based transformations, Dataplex Data Catalog, Analytics Hub data sharing, Pub Sub event-driven architectures, Cloud Monitoring Logging

Cloud Computing, Data Modeling, Data Pipeline, Apache Spark, Big Data, Data Warehousing, Python Programming, ETL Processes, Kafka Streaming, SQL Databases

Cloud Computing, Data Modeling, Apache Spark, Data Warehousing, Sql, Python, Microservices, Api Development, ETL Processes, CI/CD Pipelines

Gcp, Databricks, BigQuery, Data Modeling, Apache Spark, Sql, Data Warehousing, Python, Cloud Architecture, ETL Processes