Pyspark, PostgreSQL, Scala, Kafka, Sql, Stash, Jenkins, Git, Openshift, Spark, Kubernetes, AWS, Apache Iceberg, Flink, MinIO

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

Git, Gcp, JIRA, Sql, Python, Airflow, Cloud Functions, ETL pipelines

Data Modeling, Sql, building ETL pipelines, Warehousing

Data Analytics, Machine Learning, Sql, Python, AWS, data pipelines, cloud based data processing, scalable AI driven data solutions

Pyspark, Apache Spark, Kafka, HBase, Impala, Sql, Git, Hive, Python, Airflow, HDFS, CI CD, Cloudera Data Platform

Cloud Storage, BigQuery, Spark, Apache Beam, Dataproc, DataFlow, Python, Sql

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

snowflake , S3, Erp, PostgreSQL, ELT, Lambda, Ec2, Data Modelling, Oracle, Python, AWS, Sql, Jenkins, Git, Iam, Etl, Infrastructure-as-code, Data quality and monitoring frameworks, Data warehouse design, rbac, dbt, Dagster, CI/CD, Tms, Wms

BigQuery, Hadoop, Apache Airflow, Spark, Apache Beam, Python, Cloud Spanner, CloudSQL, Google DataProc, Google Cloud Scheduler, Big Table, Pubsub, Google DataFlow, Google Cloud Ecosystem, AlloyDB, Cloud Composer, dbt, Google Cloud Storage