Google Cloud Data Engineer – Colombia Remote
KeyrusBuild scalable Google Cloud data pipelines for Keyrus enterprise intelligence solutions. Work with BigQuery, Pub/Sub, Dataform, Cloud Storage, and Cloud Composer.
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RevStar este o companie de consultanță în transformare digitală, care ajută organizațiile să transforme prioritățile strategice în produse și servicii funcționale. Echipa sa reunește planificarea creșterii, proiectarea parcursului clientului, planificarea utilizării inteligenței artificiale și a inteligenței artificiale generative, infrastructura de date, testarea produselor, dezvoltarea MVP-urilor și modernizarea tehnologiei. RevStar colaborează cu lideri din domeniul sănătății, al asigurărilor și al finanțelor pentru a aborda provocări esențiale, conectând direcția strategică cu execuția tehnică practică. Informațiile disponibile nu precizează contextul de recrutare al companiei.
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.
Descriere
- 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.
Cerințe
- 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.
Beneficii
- 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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