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EXL
EXL
Kvalifikuoto darbuotojo vizos rėmėjasDraudimasLogistikaSveikatos priežiūra
EXL yra verslo konsultavimo ir paslaugų įmonė, padedanti organizacijoms pasitelkti duomenis, analitiką ir technologijas veiklai gerinti bei geresniems sprendimams priimti. Įmonės veikla apima operacijų valdymą, sprendimų analitiką ir skaitmeninę transformaciją, o jos patirtis apima darbą su sveikatos priežiūros, draudimo, finansų ir logistikos sektorių klientais. EXL derina duomenų mokslą su praktine verslo kompetencija, kad sukurtų sprendimus, pritaikytus kiekvienos organizacijos tikslams, veiklos modeliui ir sektoriaus aplinkai.
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Darbai įmonėje

Senior Data Engineering Lead, Marketing Data – EXL

Lead the architecture and delivery of EXL’s marketing data platform. Guide Azure and Databricks work, Customer 360 and MDM capabilities, and data engineering teams.

USJungtinės ValstijosNJNaujasis DžersisNYNiujorkasHibridinisVisas etatasVyresnysis specialistasPrivaloma Kalba: anglųDuomenų inžinierius
AzureDebesijaRDBMSSQL

Aprašymas

  • Own delivery of marketing data platform, integration, reporting, and architecture initiatives from intake through production launch.
  • Work with business stakeholders to clarify needs, set scope and priorities, and turn objectives into delivery plans.
  • Coordinate risks, dependencies, decisions, timelines, and tradeoffs across business, development, architecture, infrastructure, and operations teams.
  • Maintain project plans, RAID and decision logs, requirements, release plans, and production handoff materials.
  • Lead sprint planning, backlog refinement, delivery ceremonies, technical reviews, and issue-resolution discussions.
  • Ensure solutions are scalable, secure, supportable, documented, and consistent with enterprise data governance standards.
  • Guide cloud data platforms, data modeling, pipelines, integrations, and downstream reporting or activation use cases.
  • Oversee the organization’s data engineering solutions.
  • Lead major initiatives and keep them aligned with organizational goals.
  • Advise executive stakeholders.
  • Mentor team members and lead design reviews.

Reikalavimai

  • 10–15 years of experience in data engineering, data modeling, and architecture.
  • Strong expertise in Azure and Databricks.
  • Experience with marketing data concepts, including accounts, customers, prospects, leads, opportunities, engagement, and consent.
  • Strong understanding of Customer 360 and MDM concepts, including integrations across multiple systems.
  • Experience leading and managing teams of at least 5–8 data engineers, architects, and technical specialists.
  • Experience with SQL/RDBMS, Git, integration patterns, data modeling, Copilot, Claude, and GitHub Copilot.
  • Knowledge of data quality, controls, lineage, documentation, data privacy, and security.
  • Graduate degree in computer science, data science, or a related field.
  • Strong communication and problem-solving skills.
  • Positive attitude.
  • Immediate availability is preferred; the listing specifies a date of joining.

Privalumai

  • Hybrid work arrangement.

Susiję darbai

Verana Health

Senior/Staff Backend Engineer, Platform and Data Ingestion

Verana Health
51 – 200 Darbuotojai
H1B vizos rėmėjasKonsultavimasSveikatos draudimasSveikatos priežiūra
USJungtinės ValstijosCAKalifornijaNYNiujorkas
135 000 $ – 200 000 $ / metai
HibridinisVisas etatasVyresnysis specialistasPrivaloma Kalba: anglųDuomenų inžinierius
AWSBigQueryC++DebesijaElasticsearchElixirETLGoogle Cloud PlatformJavaKafkaMikropaslaugosMySQLPostgresScalaSQL

Build and scale clinical data ingestion, OCR, OpenSearch, and oncology platform services at Verana Health. Design APIs, ETL pipelines, and microservices that support real-world healthcare insights.

Atidaryti
State Street

Senior Databricks Data Engineer

State Street
H1B vizos rėmėjasBankininkystėFinansaiFintech
USJungtinės ValstijosMAMasačusetsasNJNaujasis Džersis
120 000 $ – 202 500 $ / metai
HibridinisVisas etatasVyresnysis specialistasPrivaloma Kalba: anglųDuomenų inžinierius
ApacheApvalkalo scenarijų kūrimasAzureDebesijaDockerETLKubernetesScalaSparkSQLUnix

Build Azure and Databricks data pipelines for State Street’s financial services platform. Develop ETL processes, data lakes, and scalable frameworks as part of an agile team.

Atidaryti