Senior Data Engineer

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🕒 il y a 1 mois

🏄 California, Illinois, +3 états de plus – Distant

🏄 California – Remote 🌽 Illinois – Remote 🗽 New York – Remote 🌲 North Carolina – Remote 🤠 Texas – Remote

💵 $134 500 - $194 750 / an

⏰ Temps Plein

🟠 Senior

🚰 Ingénieur Data

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Paul Hastings

Site WebLinkedInTous les Emplois

1001 - 5000 employés

Fondée en 1951

⚖️ Juridique

💼 Conseil

💸 Finance

Legal • Consulting • Finance

Paul Hastings est un cabinet d'avocats global (Paul Hastings LLP) offrant des services juridiques dans divers domaines de pratique. Le cabinet conseille sur d'importantes transactions d'entreprises (introductions en bourse, financements, acquisitions), le financement de fonds, la restructuration, l'arbitrage, le divertissement, les sports et les médias, les questions liées aux cryptomonnaies et à l'énergie. Il maintient également des pratiques dans des secteurs tels que le financement de fonds, les titres, les fusions et acquisitions, la restructuration et les questions réglementaires liées à la technologie. Le cabinet sert des clients tels que des institutions financières, des entreprises, des sponsors et des émetteurs, et a des bureaux internationaux (par exemple, à Paris et à Londres). Il a été reconnu par des distinctions telles que le Chambers USA Law Firm of the Year.

Description

• Design, build and manage scalable data pipelines using Azure Data Factory (ADF), Azure Data Lake Storage (ADLS) and Azure Databricks; • Develop ELT frameworks for ingesting and transforming structured and semi-structured data from on-prem and cloud sources; • Implement robust DevOps pipelines for code versioning, testing, deployment and monitoring using Azure DevOps; • Ensure pipeline performance, reliability and observability using tools like Azure Monitor and Log Analytics; • Collaborate with BI teams to support Power BI datasets and ensure optimal data model performance; • Automate environment setup, configuration and permissions using infrastructure-as-code where possible; • Write modular, testable code in Python or PySpark and manage version control with Git; • Support production operations, root cause analysis and performance tuning; • Maintain technical documentation for pipelines, data mappings and deployment processes; • Work as part of an Agile delivery team, participating in sprints, retrospectives and code review; • Mentor junior data engineers and promote best practices in CI/CD, version control, and release management.

🎯 Exigences

• Bachelor’s degree in Computer Science, Engineering or related field (required) • 7+ years of data engineering or BI development experience • 3+ years building data solutions in Microsoft Azure Cloud • 2+ years using Azure DevOps for automated builds, releases and pipeline orchestration • Proven experience working with structured and semi-structured data (Parquet, JSON, Avro) • Experience in professional services, legal, or financial environments preferred.

🏖️ Avantages

• Medical, Dental, Vision, Life/AD&D, Long Term Care, and Short- and Long-Term Disability • Flexible Spending Accounts and Health Savings Account • Healthcare Concierge and Advocacy • Lifestyle Spending Account • Voluntary 401(k) Plan and Profit Sharing • 10 Paid Holidays per year and a generous PTO Program • Family Support including Paid Parental Leave, Fertility Benefits, Breast Milk Shipping, Back-up Child Care, Elder Care, and Tutoring • Wellbeing programs (Employee Assistance Program, Relationship Support, Mental Health, Menopause and Midlife Health and Well-Being Events) • Retirement Plan Consulting • Anniversary Bonus Program • Professional Development Programs • Transportation and Commuter Benefits • International Travel Insurance • Critical Illness, Hospital Indemnity and Accident Insurance • Auto/Home/Pet Insurance • Prepaid Legal Insurance • Employee Discounts • And More!