Senior Data Engineer @ Danta Technologies | Jobright.ai
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Danta Technologies ยท 6 days ago

Senior Data Engineer

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ConsultingIT Infrastructure
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H1B Sponsorship

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Responsibilities

10 to 15 years of proven experience in modern cloud data engineering, broader data landscape experience and exposure and solid software engineering experience.
Prior experience architecting and building successful self-service enterprise scale data platforms in a green field environment with microservices based architecture.
Proficiency in building end to end data platforms and data services in GCP is a must.
Proficiency in tools and technologies: BigQuery, Cloud Functions, Cloud Run, Dataform, Dataflow, Dataproc, SQL, Python, Airflow, PubSub.
Experience with Microservices architectures -Kubernetes, Docker. Our microservices are build using TypeScript, NestJS, NodeJS stack. Prefer candidates with this experience.
Experience building Symantec layers.
Proficiency in architecting and designing and development experience with batch and real-time streaming infrastructure and workloads.
Solid experience with architecting and implementing metadata management including data catalogues, data lineage, data quality and data observability for big data workflows.
Hands-on experience with GCP ecosystem and data lakehouse architectures.
Strong understanding of data modeling, data architecture, and data governance principles.
Excellent experience with DataOps principles and test automation.
Excellent experience with observability tooling: Grafana, Datadog.

Qualification

Find out how your skills align with this job's requirements. If anything seems off, you can easily click on the tags to select or unselect skills to reflect your actual expertise.

Cloud Data EngineeringArchitectingBuilding Data PlatformsGCP ProficiencyBigQueryCloud FunctionsCloud RunDataformDataflowDataprocSQLPythonAirflowPubSubMicroservices ArchitecturesKubernetesDockerSymantec LayersBatch ProcessingReal-time StreamingMetadata ManagementData CataloguesData LineageData QualityData ObservabilityData Lakehouse ArchitecturesData ModelingData GovernanceDataOps PrinciplesTest Automation

Required

10 to 15 years of proven experience in modern cloud data engineering
Prior experience architecting and building successful self-service enterprise scale data platforms in a green field environment with microservices based architecture
Proficiency in building end to end data platforms and data services in GCP
Proficiency in tools and technologies: BigQuery, Cloud Functions, Cloud Run, Dataform, Dataflow, Dataproc, SQL, Python, Airflow, PubSub
Experience with Microservices architectures -Kubernetes, Docker
Experience building Symantec layers
Proficiency in architecting and designing and development experience with batch and real-time streaming infrastructure and workloads
Solid experience with architecting and implementing metadata management including data catalogues, data lineage, data quality, and data observability for big data workflows
Hands-on experience with GCP ecosystem and data lakehouse architectures
Strong understanding of data modeling, data architecture, and data governance principles
Excellent experience with DataOps principles and test automation
Excellent experience with observability tooling: Grafana, Datadog

Preferred

Experience with TypeScript, NestJS, NodeJS stack

Company

Danta Technologies

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Danta Technologies is a consulting and IT services firm that offers solutions for all levels of IT.

H1B Sponsorship

Danta Technologies has a track record of offering H1B sponsorships. Please note that this does not guarantee sponsorship for this specific role. Below presents additional info for your reference. (Data Powered by US Department of Labor)
Distribution of Different Job Fields Receiving Sponsorship
Trends of Total Sponsorships
2023 (6)
2022 (12)
2021 (16)
2020 (21)

Funding

Current Stage
Growth Stage
Company data provided by crunchbase
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