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Pattern Bioscience
Pattern Bioscience
11 – 50 Xodimlar
BiotexnologiyaSog‘liqni saqlashTibbiy sug‘urta
Pattern Bioscience dori-darmonlarga chidamli bakterial infeksiyalarni tez va ekin yetishtirishni talab qilmaydigan usulda aniqlash uchun diagnostika vositalarini ishlab chiqadigan biotexnologiya va sog‘liqni saqlash kompaniyasidir. Uning texnologiyasi mikroorganizmlarni bitta hujayra darajasida tahlil qilishni mashinaviy o‘rganish bilan birlashtirib, bir necha soat ichida klinik jihatdan amaliy natijalar beradi. Bu tibbiyot xodimlariga mos davolash usullarini ertaroq aniqlashga yordam beradi. Kompaniya faoliyati mikroblarga qarshi dorilarga chidamlilik muammosini hal qilishga qaratilgan bo‘lib, tezroq va puxtaroq qarorlar qabul qilinishini qo‘llab-quvvatlash orqali bemorlar natijalarini yaxshilash hamda oldini olish mumkin bo‘lgan tibbiy xarajatlarni kamaytirishga hissa qo‘shishi mumkin.
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Kompaniyadagi ish o‘rinlari

Senior Data Engineer, Data and Analytics – Pune Hybrid

Lead Pattern Bioscience’s advertising optimization data systems, including the feature store and machine learning inference workflows. Maintain reliable, quality-controlled bid and budget updates for marketplace advertising APIs.

INHindistonGibridTo‘liq stavkaSeniorTalab Qilinadigan Til: inglizchaMa’lumotlar muhandisi
AirflowAmazon RedshiftAWSBigQueryBulutPythonSQL

Tavsif

  • Build, deploy, and support scalable automated batch pipelines that ingest diverse sources into the lakehouse
  • Manage and enhance Airflow orchestration for daily and 15-minute multi-DAG workflows, covering dependencies, retries, backfills, full refreshes, and safe reruns
  • Develop and optimize analytical SQL using wide joins, window functions, incremental merges, warehouse sizing, and query profiling
  • Add features and labels to the feature store while maintaining established leakage-prevention and data-completeness standards
  • Coordinate SageMaker model training and batch inference through Airflow, including datasets, S3 and Parquet transfers, training images, instance sizing, predictions, and metrics
  • Create data-auditing approaches and enforce blocking quality checks before external writes
  • Diagnose and resolve large-scale data-processing issues, investigate failures, and participate in on-call triage
  • Protect idempotency, new-data detection, action validation, invalidation, and audit trails for marketplace updates
  • Partner with data scientists, advertising strategists, and platform engineering teams
  • Convert ROAS goals, budget pacing, playbook rules, and advertising strategy into dependable data models and pipelines
  • Take ownership of data quality in assigned domains and coordinate issue resolution with data infrastructure teams
  • Mentor data engineers, provide technical guidance, and review SQL and DAG changes

Talablar

  • Bachelor’s degree in data science, data analytics, information management, computer science, information technology, a related discipline, or equivalent professional experience
  • At least four years of overall professional experience
  • At least four years of hands-on SQL and Python development experience, including advanced SQL
  • At least three years of experience building production data pipelines on modern data architectures
  • At least two years of experience with cloud data warehouses such as Snowflake, Amazon Redshift, or BigQuery
  • Professional experience with a workflow orchestrator; Airflow is strongly preferred
  • Experience scheduling machine learning training and batch inference through SageMaker or a comparable platform
  • Working understanding of applied machine learning concepts, including dataset construction, leakage, evaluation metrics, and model lifecycle operations
  • Practical AWS experience, including at least S3 and IAM, plus familiarity with columnar file formats
  • Proven ownership of data quality through testing, monitoring, alerting, and root-cause analysis
  • Strong software engineering and scripting practices, including version control, code review, and modular development
  • Excellent communication and cross-functional collaboration skills
  • Ability to lead and mentor data engineering teams
  • Preferred experience includes digital advertising, advanced Snowflake, time-series data, big data, data-quality frameworks, distributed data platforms, additional AWS services, data governance, and AI coding agents

Imtiyozlar

  • Benefits include paid time off, insurance, and competitive compensation
  • Paid time off
  • Insurance

O‘xshash ish o‘rinlari

Expivia Interaction Marketing Group Inc.

Healthcare Call Center Representative

Expivia Interaction Marketing Group Inc.
201 – 500 Xodimlar
KonsaltingLogistikaMarketing
USAmerika Qo‘shma ShtatlariPAPensilvaniya
14 $ – 16 $ / soat
GibridTo‘liq stavkaO‘rta darajaSeniorTalab Qilinadigan Til: inglizchaQo‘ng‘iroqlar markazi vakili

Assist members with health savings and benefit accounts through phone, chat, and email. The role includes three weeks of paid, in-person training in Erie, Pennsylvania, before moving to a hybrid schedule.

Ochish