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Carelon Global Solutions Philippines
Carelon Global Solutions Philippines
5 001 – 10 000 Xodimlar
KonsaltingLogistikaSug‘urta
Carelon Global Solutions Philippines operatsiyalar va xizmatlarni amaliy hamda samarali tarzda ko‘rsatishni yaxshilash orqali sog‘liqni saqlash tashkilotlarini qo‘llab-quvvatlaydi. Ilgari Legato Health Technologies nomi bilan tanilgan va Elevance Health kompaniyasining sho‘ba korxonasi bo‘lgan ushbu kompaniya tibbiy sug‘urta rejalariga, tibbiy xizmat ko‘rsatuvchilarga va sog‘liqni saqlash tizimlariga mo‘ljallangan raqamli vositalar hamda operatsion yechimlarni ishlab chiqadi. 25 000 dan ortiq xodimdan iborat global jamoasi Amerika Qo‘shma Shtatlari, Hindiston, Irlandiya, Filippin va Puerto-Rikoda faoliyat yuritadi. Kompaniya tibbiyot mutaxassislariga ma’muriy ish yukini kamaytirish va bemorlar parvarishiga ko‘proq e’tibor qaratishga yordam beradigan innovatsion yondashuvlarni izlaydi, shuningdek xodimlari uchun ustozlik va martaba rivojiga katta ahamiyat beradi.
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Kompaniyadagi ish o‘rinlari

Tech Lead II, Databricks – Bengaluru Onsite

Lead Databricks, Snowflake, and cloud data engineering for Carelon Global Solutions’ healthcare platforms. Build scalable lakehouse pipelines and guide modernization initiatives across India-based teams.

INHindistonOfisdaTo‘liq stavkaSeniorTalab Qilinadigan Til: inglizchaDasturiy ta’minot muhandisiFull-stack muhandisi
ApacheAWSAzureBulutDockerETLGoogle Cloud PlatformJenkinsKafkaKubernetesPySparkPythonSparkSQLTerraformUnity

Tavsif

  • Own the delivery of scalable data engineering solutions
  • Lead end-to-end pipeline development with Databricks and Python
  • Design frameworks for both batch and real-time data processing
  • Review implementation quality and define engineering standards
  • Coach teams on performance tuning and system reliability
  • Develop and support ETL/ELT pipelines with Databricks, Spark, and Python
  • Create scalable lakehouse architectures
  • Establish data quality, governance, and observability practices
  • Tune Snowflake workloads and refine data models
  • Design Iceberg-based data lakes for large-scale analytics
  • Use AWS and GCP cloud services
  • Build cloud-native solutions with managed services
  • Contribute to platform modernization and cloud migration efforts
  • Collaborate with architects, product owners, and business stakeholders
  • Convert business needs into practical technical designs
  • Estimate work and support delivery planning

Talablar

  • B.Tech or MCA in computer science, or equivalent professional experience
  • At least 7 years of overall experience
  • At least 3 years of relevant Databricks experience
  • Practical experience designing and delivering scalable Databricks lakehouse solutions
  • Advanced Python and PySpark skills
  • Deep Snowflake experience covering data modeling, performance tuning, query optimization, and cost control
  • Hands-on knowledge of Apache Iceberg, Delta Lake, and modern open table formats
  • Strong knowledge of AWS or GCP services, architecture, deployment, and platform operations
  • Experience creating batch and real-time pipelines with Spark, Kafka, and cloud-native services
  • Expertise in ETL/ELT architecture, data integration, and cloud migration
  • Experience leading engineering teams and delivering data modernization programs
  • Strong analytical and troubleshooting abilities
  • Excellent communication and stakeholder management skills
  • Expert knowledge of Databricks Lakehouse Architecture, Delta Lake, Unity Catalog, Workflows, and performance optimization
  • Strong command of Spark SQL and distributed processing
  • Extensive hands-on knowledge of Snowpipe, Streams, Tasks, data sharing, and query optimization
  • Advanced Apache Iceberg knowledge, including schema evolution, partitioning, and time travel
  • Experience designing and delivering large-scale data engineering and ETL/ELT pipelines
  • Hands-on experience with AWS, Azure, or GCP cloud-native data services
  • Strong SQL and data modeling capabilities across OLTP and analytical systems
  • Experience processing real-time data with Kafka, Event Hubs, Kinesis, or Pub/Sub
  • Knowledge of data governance, metadata management, data quality, and security frameworks
  • Preferred: Terraform, CloudFormation, or other infrastructure-as-code tools
  • Preferred: Docker, Kubernetes, and containerized data platforms
  • Preferred: CI/CD tools such as GitHub Actions, Jenkins, Azure DevOps, or GitLab
  • Preferred: AI/ML, MLOps, and GenAI data platform integration
  • Preferred: Data Mesh, Data Fabric, and modern enterprise data architecture
  • Preferred: Databricks, Snowflake, or cloud platform certifications

Imtiyozlar

  • Strong investment in learning and professional development
  • An innovative and creative culture with room for autonomy
  • Programs supporting holistic well-being
  • Diversity, equity, and inclusion initiatives
  • Multiple avenues for rewards and recognition
  • Competitive health and medical insurance
  • High-quality amenities and workplace facilities
  • Associate-centered workplace policies

O‘xshash ish o‘rinlari

Newstel Worldwide

Part-Time Danish-Speaking Customer Service Agent (Portugal, Remote)

Newstel Worldwide
201 – 500 Xodimlar
KonsaltingLogistikaMarketing
PTPortugaliya
11 € – 14 € / soat
MasofaviyYarim stavkaJuniorO‘rta darajaDiplom talab qilinmaydiTalab Qilinadigan Til: danTalab Qilinadigan Til: inglizchaMijozlarni qo‘llab-quvvatlash

Provide remote customer support in Danish for Newstel’s multilingual BPO customers while meeting service and quality targets. This part-time role covers email, chat and phone enquiries from Portugal.

Ochish