Java, Apis, Scala, Automated Testing, Version Control, Databricks, Python, Microsoft Azure or other hyperscaler environments, Observability practices, Reusable frameworks, Platform components, CI/CD, Data warehousing architectures, Engineering standards, Data integration patterns, Event-driven architectures

Python, Databricks, Sql, Pyspark, Unit Testing, Terraform, Git, Azure DevOps, Azure Data Factory, Integration Testing, Spark SQL, Kubernetes, Docker, Apis, Jenkins, Data Modelling, Fabric Pipelines, Snowpark, dbt, Semantic Data, Modern Data Platforms, CI CD, Enterprise Orchestration Tools, Data Pipeline Testing, Databricks Workflows, Policy-as-Code, Microsoft Fabric, Infrastructure-as-Code, Cortex AI, Cloud ecosystems

PowerShell, Ssh, Bash, Windows, Grafana, Autosys, Https, Ftps, Terraform, Linux, Sftp, Ansible, Dynatrace, Splunk, Azure, Python, AWS, SSL certificates, cd, IBM Connect Direct, PGP encryption, Axway B2Bi

Splunk, Autosys, Windows, Grafana, Dynatrace, Ansible, PowerShell, Linux, AWS, Python, Bash, Azure, Terraform, SSL certificates, PGP encryption, Axway B2Bi, IBM Connect Direct

Graphql, Node.js, Kafka, Grafana, Sql, Typescript, REST, Terraform, Influxdb, Nestjs, AWS IoT Core, ClickHouse, Go, GCP Pub Sub, TimescaleDB

Ranger, Yarn, Impala, Hive, Gcp, Terraform, Ansible, Kerberos, Spark, Oozie, Databricks, Tls, Azure, AWS, Infrastructure as Code, ATLAS, Chef, HDFS, Delta Lake, Cloudera CDP

Java, Python, Spark, Kafka, Trino, Iceberg