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RevStar
RevStar
51 – 200 Darbinieki
B2BKonsultācijasMākslīgais intelekts
RevStar is a digital transformation consultancy that helps organizations turn strategic priorities into working products and services. Its team brings together growth planning, customer journey design, AI and generative AI planning, data infrastructure, product testing, MVP development, and technology modernization. RevStar works with leaders in healthcare, insurance, and finance on mission-critical challenges, connecting strategic direction with hands-on technical execution. The company’s hiring context is not specified in the available information.
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Vakances uzņēmumā

Senior Data Engineer, AI and Databricks

Build cloud-agnostic Databricks Lakehouse pipelines and production AI solutions for RevStar clients. Improve Spark performance, MLOps, governance, and automated deployments.

ARArgentīnaBRBrazīlijaCLČīleCOKolumbijaMXMeksikaVEVenecuēlaAttālinātiLīgumsVidējais līmenisVecākais speciālistsNepieciešamā Valoda: angļuDatu inženieris
ApacheAWSAzureETLGoogle Cloud PlatformMākonisPythonSparkSQLTerraform

Apraksts

  • Build and optimize ETL/ELT pipelines with Apache Spark and Delta Lake across AWS, Azure, and GCP.
  • Create Lakehouse architectures for enterprise-scale structured and unstructured data.
  • Automate data ingestion, storage, and feature engineering for analytics and real-time AI workloads.
  • Tune Spark jobs to reduce latency and cost while increasing throughput.
  • Work with ML engineers and data scientists to deploy AI models in Databricks using MLflow.
  • Set up CI/CD pipelines and infrastructure as code with Terraform and Databricks CLI.
  • Apply enterprise security, access controls, and compliance standards, including GDPR, HIPAA, and SOC 2.
  • Work with client technology leaders, product managers, and engineering teams to turn AI data needs into business outcomes.
  • Write technical documentation.
  • Guide solution handoffs to client engineering teams.

Prasības

  • At least 3 years of cloud-native data engineering experience.
  • At least 2 years of hands-on experience with Databricks, Apache Spark, Delta Lake, and MLflow.
  • Strong skills in Python, SQL, Spark frameworks, CI/CD, and infrastructure as code using Terraform or Databricks CLI.
  • Demonstrated success in fast-paced Agile and DevOps consulting environments.
  • Experience delivering cloud-agnostic architectures.
  • Excellent client communication skills.
  • An active Databricks Certified Data Engineer (Associate or Professional) or Databricks ML Professional certification is strongly preferred.

Priekšrocības

  • Remote-first work environment with connection to a global team.
  • Collaborative, innovative culture that values curiosity and initiative.
  • Equal opportunity workplace.
  • Reasonable accommodations for individuals with disabilities.

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