V
Data Engineer
Job Description
Assist and Scale Vulnerability Data Pipeline to Handle Enterprise Standards
Strong Knowledge on Python
Knowledge on Apache Spark
Knowledge on Kubernetes
Knowledge on Docker
Knowledge on Terraform
Good Cloud Experience
AWS
GCP
Azure
Data Pipeline
Python
Apache Spark
Cloud AWS GCP Azure
Kubernetes
Docker
Terraform
Azure
Data Pipeline
Python
Apache Spark
Cloud AWS GCP Azure
Kubernetes
Docker
Terraform
Strong Knowledge on Python
Knowledge on Apache Spark
Knowledge on Kubernetes
Knowledge on Docker
Knowledge on Terraform
Good Cloud Experience
AWS
GCP
Azure
Data Pipeline
Python
Apache Spark
Cloud AWS GCP Azure
Kubernetes
Docker
Terraform
Azure
Data Pipeline
Python
Apache Spark
Cloud AWS GCP Azure
Kubernetes
Docker
Terraform
More Info
About Company
Skills:
cloud platform , AWS - Database Technologies, Cloud, AWS, Technology, AWS Core services, AWS Data Analytics
Skills:
data engineering , Spark, Databricks, Emr, Airflow, AWS data services, Micro-services architecture, Streaming pipelines, Athena
Skills:
snowflake , Azure Databricks, Json, ELT, Data Integration, Excel, Data Modelling, Azure DevOps, Apis, Csv, Data Warehousing, Sql, Git, Azure Data Factory, Powerbi, Xml, Etl, GenAI use cases, PDFs, AI-assisted data processing workflows, Data pipelines, Data ingestion frameworks, Data Analysis, ADLS Gen2, Vector search embeddings, Synapse, AI ML concepts, CI CD pipelines
Skills:
snowflake , Data Warehousing, Kafka, Automated Testing, ELT, Docker, Python, Azure DevOps, AWS, Data Modelling, Sql, Devops, Data Quality, Git, Databricks, Kubernetes, Etl, data lakes, Security, MDM, Event Hubs, metadata lineage, production reliability, GitHub Enterprise, DataOps, dbt, CI CD pipelines