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Naveera Technology LLC
Naveera Technology LLC
201 – 500 Zaposleni
LogistikaSvetovanjeZdravstveno varstvo
Naveera Technology LLC je tehnološko svetovalno in inženirsko podjetje, ki organizacijam pomaga razvijati zmogljivosti, zasnovane na umetni inteligenci, s praktičnimi sistemi, pripravljenimi za produkcijsko uporabo. Njegovo delo zajema podatkovno inženirstvo, strojno učenje, generativno umetno inteligenco, razvoj aplikacij, infrastrukturo v oblaku in delovanje IT, vključno s podatkovnimi cevovodi, razvojem modelov GenAI, MLOps ter prilagojenimi spletnimi, mobilnimi in poslovnimi aplikacijami. Naveera podpira stranke na področju digitalnega zdravstva, finančne tehnologije, e-trgovine, logistike in drugih poslovnih okolij prek globalnih ekip za izvajanje storitev, razširjene inženirske podpore ter modela centra odličnosti, osredotočenega na pretvarjanje podatkov v uporabne vpoglede in razširljivo tehnologijo.
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Delovna mesta v podjetju

Senior Data Engineering Manager, GCP Cloud

Lead AWS-to-GCP migrations and cloud data platform architecture for Naveera Technology’s global engineering clients. Guide teams across governance, streaming, analytics, and cloud modernization.

USZdružene države Amerike
120.000 $ – 160.000 $ / leto
Na daljavoPolni delovni časSeniorVodjaZahtevani Jezik: angleščinaVodja inženiringa
AirflowAmazon RedshiftApacheAWSBigQueryETLGoogle Cloud PlatformOblakPySparkPythonSparkSQLTerraform

Opis

  • Build scalable enterprise data platforms on GCP
  • Design data lake and lakehouse architectures with Google Cloud Storage and BigQuery
  • Define Bronze, Silver, and Gold/Atomic data layers
  • Lead enterprise data platform migrations from AWS to GCP
  • Assess AWS architectures, pipelines, workloads, dependencies, and operating processes
  • Set target GCP architecture and migration plans, phases, dependencies, risks, and rollback strategies
  • Lead architecture reviews and technical design discussions
  • Design real-time data pipelines with Pub/Sub, Dataflow/Apache Beam, BigQuery, and Cloud Storage
  • Design high-volume event ingestion, enrichment, and transformation pipelines
  • Develop scalable batch and real-time ETL/ELT pipelines using Python, PySpark, SQL, Dataflow/Apache Beam, BigQuery, and dbt
  • Build orchestration workflows with Cloud Composer/Airflow
  • Design enterprise data models for analytics and reporting
  • Improve BigQuery partitioning, clustering, SQL, and query performance
  • Set standards for data governance, quality, lineage, metadata, ownership, and security
  • Implement IAM, least-privilege access, encryption, service accounts, network security, and data access policies
  • Lead infrastructure automation with Terraform and implement CI/CD pipelines
  • Improve performance and control costs across BigQuery, Dataflow, Spark, Cloud Storage, and streaming workloads
  • Lead and mentor Data Engineers, Senior Data Engineers, and Technical Leads
  • Set technical direction, review architecture and code, and establish roadmaps and engineering priorities
  • Track engineering progress, risks, dependencies, and delivery milestones
  • Serve as the primary technical contact for US-based stakeholders
  • Work with Business, Product, Data Science, BI, and DevOps teams
  • Turn business needs into scalable technical solutions and communicate risks, timelines, and trade-offs

Zahteve

  • At least 15 years in data engineering, data architecture, or cloud engineering
  • At least 5 years of hands-on GCP data engineering experience
  • At least 3 years working on AWS-to-GCP migration projects
  • Strong background designing enterprise data lake and lakehouse platforms
  • Experience migrating AWS data workloads to GCP
  • Strong understanding of AWS and GCP service mapping and cloud migration patterns
  • Expert SQL skills and strong Python/PySpark proficiency
  • Strong data modeling and data warehousing experience
  • Experience with Terraform and CI/CD
  • Experience managing and mentoring data engineering teams
  • Strong communication skills and experience working with US-based stakeholders
  • Strong experience with Amazon S3, AWS Glue, AWS Glue Data Quality, Amazon Redshift/Redshift Serverless, Amazon Athena, AWS Step Functions, AWS DMS, AWS Lake Formation, and IAM
  • Strong experience with BigQuery, Google Cloud Storage, Pub/Sub, Dataflow/Apache Beam, Cloud Composer/Airflow, Dataproc/Spark, Cloud Monitoring, Cloud Logging, and Dataplex/Data Catalog
  • Experience with ETL/ELT, CDC, batch and streaming processing, event-driven architecture, and data pipeline optimization

Ugodnosti

  • Flexible remote work
  • Work with global enterprise customers
  • Collaborative engineering culture focused on innovation
  • Ongoing learning and certification opportunities

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Na daljavoPolni delovni časSrednja ravenSeniorZahtevani Jezik: angleščinaVodja inženiringa
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