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Keep IT Simple
Keep IT Simple
11 – 50 Xodimlar
KiberxavfsizlikLogistikaSog‘liqni saqlash
Keep IT Simple (KIS) — Kaliforniya va undan tashqaridagi tashkilotlarga xizmat ko‘rsatuvchi, Silikon vodiysida joylashgan IT xizmatlari va yechimlari provayderidir. 1988-yilda tashkil etilgan kompaniya kiberxavfsizlik, virtualizatsiya, bulutli yechimlar va tarmoq infratuzilmasi bo‘yicha konsalting orqali mijozlarga murakkab texnologik ehtiyojlarini hal etishda yordam beradi. Uning faoliyati logistika, sog‘liqni saqlash va kiberxavfsizlik kabi sohalarni qamrab oladi; kompaniya amaliy IT yo‘l-yo‘rig‘i, xarajatlarni hisobga oluvchi yechimlar va tezkor mijozlarga xizmat ko‘rsatishga katta e’tibor beradi.
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Kompaniyadagi ish o‘rinlari

Senior Databricks Data Engineer, AI Platforms

Build Databricks and cloud data platforms for a global insurance and asset management company. Support governed analytics, machine learning, and generative AI solutions.

BRBraziliyaGibridShartnomaSeniorTalab Qilinadigan Til: inglizchaMa’lumotlar muhandisi
ApacheAWSAzureBulutETLKafkaPythonSparkSQLUnity

Tavsif

  • Build and maintain scalable data pipelines and products with Databricks, Spark, Python, and SQL.
  • Create and improve batch, streaming, and real-time integrations across enterprise and third-party sources.
  • Implement Databricks Lakehouse architectures with Delta Lake and Medallion patterns.
  • Deliver data products for analytics, predictive modeling, machine learning, and generative AI.
  • Work with data scientists and AI engineers to prepare, transform, and govern data for AI and ML use cases.
  • Create feature engineering pipelines and support machine learning lifecycle processes.
  • Build data solutions for RAG, vector and semantic search, and LLM applications.
  • Improve Spark jobs, SQL workloads, and data frameworks for performance, scale, and cost efficiency.
  • Establish data quality, observability, lineage, governance, and monitoring capabilities.
  • Meet data privacy, security, and responsible AI standards.
  • Support CI/CD, Infrastructure as Code, and DataOps across the data platform.
  • Guide junior engineers and reinforce sound engineering practices.
  • Partner with data scientists, AI engineers, architects, and business stakeholders to deliver trusted, governed data products.
  • Support enterprise AI and generative AI initiatives with robust, secure, governed data platforms.

Talablar

  • Bachelor’s degree in computer science, information systems, engineering, mathematics, or a related discipline.
  • At least 7 years in data engineering, ETL development, or large-scale data platforms.
  • At least 3 years of practical experience with Databricks and Apache Spark.
  • Strong Python and SQL skills, with experience in distributed data processing.
  • Background building cloud data lakes, warehouses, and Lakehouse architectures.
  • Experience supporting AI, machine learning, or advanced analytics initiatives.
  • Knowledge of data modeling, governance, and enterprise data management.
  • Experience building and tuning large-scale pipelines on AWS, Azure, or Google Cloud.
  • Experience with Databricks Delta Lake, Unity Catalog, Delta Live Tables, MLflow, Mosaic AI, and Databricks Workflows.
  • Practical experience with generative AI, large language models, RAG, vector databases, or AI-powered applications.
  • Familiarity with LangChain, Semantic Kernel, OpenAI APIs, Hugging Face, or comparable tools.
  • Experience with feature stores, model training pipelines, and MLOps.
  • Experience with Kafka, Event Hub, or other streaming technologies.
  • Databricks Certified Data Engineer Professional or an equivalent cloud certification is preferred.
  • Expertise in Databricks platform engineering.
  • Apache Spark development experience.
  • AI and machine learning data engineering expertise.
  • Generative AI data solutions experience.
  • Lakehouse architecture experience.
  • Data modeling and data warehousing expertise.
  • Data governance and security expertise.
  • Data observability and reliability engineering experience.
  • Cloud data platform experience with AWS or Azure.
  • DataOps, CI/CD, and automation experience.
  • Technical leadership and mentoring experience.

Imtiyozlar

  • Engagement as an independent contractor (PJ).
  • Hybrid schedule with three days per week in person at the Pinheiros, São Paulo office.

O‘xshash ish o‘rinlari

AstraZeneca

Senior Digital Business Process and Product Lead

AstraZeneca
H1B vizasi homiysiBiotexnologiyaFarmatsevtika mahsulotlariSog‘liqni saqlash
USAmerika Qo‘shma ShtatlariMDMerilend
124 000 $ – 185 000 $ / yil
OfisdaTo‘liq stavkaSeniorTalab Qilinadigan Til: inglizchaBiznes operatsiyalari
ERP

Lead digital products and regulated business systems supporting AstraZeneca’s cell therapy operations. Shape process roadmaps, integrations, analytics, compliance, and cross-functional delivery.

Ochish
Sikla GmbH

Customer and Sales Support Specialist

Sikla GmbH
501 – 1 000 Xodimlar
Ishlab chiqarishKonsaltingLogistika
GBBuyuk BritaniyaOfisdaTo‘liq stavkaJuniorO‘rta darajaDiplom talab qilinmaydiTalab Qilinadigan Til: inglizchaMijozlarni qo‘llab-quvvatlash
ERP

Support Sikla UK’s technical modular support systems business in Milton Keynes, handling customer and sales enquiries from quotation through delivery. Coordinate orders, documentation, logistics, and ERP administration with customers and internal teams.

Ochish
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