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Thomson Reuters
Thomson Reuters
H1B वीज़ा प्रायोजककानूनीपरामर्शबीमा
Thomson Reuters कानूनी सेवाओं, कर और लेखांकन, अंतरराष्ट्रीय व्यापार, जोखिम प्रबंधन, बीमा, परामर्श और वैश्विक समाचार के क्षेत्र में काम करने वाले पेशेवरों के लिए विश्वसनीय सामग्री, डेटा और प्रौद्योगिकी विकसित करता है। इसके पोर्टफोलियो में कानूनी शोध प्लेटफ़ॉर्म, कर और लेखांकन सॉफ़्टवेयर, अनुपालन और नियामक उपकरण तथा Reuters की मीडिया सेवाएँ शामिल हैं। विशेषज्ञ ज्ञान को जनरेटिव एआई में निवेश के साथ जोड़कर Thomson Reuters कानून फर्मों, कंपनियों, कर पेशेवरों और मीडिया संगठनों को जटिल जानकारी प्रबंधित करने, कार्यप्रवाह सुव्यवस्थित करने और बेहतर जानकारी के आधार पर निर्णय लेने में सहायता करता है।
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कंपनी की नौकरियाँ

Senior Data Engineer

Build AI-enabled data pipelines, dashboards, and reporting solutions for Thomson Reuters information products. Apply analytics and machine learning to deliver insights for professional customers.

USसंयुक्त राज्यTXटेक्सास
$88,200 – $1,63,800 / वर्ष
हाइब्रिडपूर्णकालिकवरिष्ठआवश्यक भाषा: अंग्रेज़ीडेटा इंजीनियर
ETLPythonSQLTableau

विवरण

  • Lead the design and upkeep of complex data pipelines, frameworks, and dashboards.
  • Develop reporting solutions with dbt, SQL, Python, Claude.AI, Power BI, Tableau, Excel, and PowerPoint.
  • Integrate advanced AI tools into reporting workflows.
  • Work with senior stakeholders to define reporting needs and provide actionable insights.
  • Apply AI and machine learning methods to generate predictive and prescriptive insights.
  • Examine large, complex datasets to find trends, patterns, and anomalies.
  • Set and uphold standards for data integrity, accuracy, and governance.
  • Train and mentor colleagues and stakeholders in reporting tools, analytical methods, and AI technologies.
  • Improve processes continuously and help shape the technical roadmap.
  • Present complex findings and strategic recommendations to executive stakeholders.
  • Guide data projects from initial planning through deployment.
  • Act as a data analysis and reporting expert and technical escalation contact.

आवश्यकताएँ

  • Bachelor’s degree in engineering, data science, computer science, statistics, business analytics, or a related discipline.
  • At least five years of progressive experience in data engineering or a similar role.
  • Demonstrated success leading complex reporting and dashboard projects and delivering business intelligence solutions.
  • Expert knowledge of dbt, SQL, Alteryx, Snowflake, Power BI, Tableau, Python, Excel, and PowerPoint.
  • Practical experience designing, implementing, and operationalizing AI solutions and machine learning algorithms.
  • Strong analytical, critical thinking, and problem-solving abilities.
  • Excellent communication, presentation, and influencing skills.
  • Ability to interpret complex data and turn it into strategic business insights.
  • Preferred: ability to lead technical initiatives, work independently, collaborate with a team, and mentor junior colleagues.
  • Preferred: advanced Python or R skills.
  • Preferred: expert-level SQL, Snowflake, and dbt skills.
  • Preferred: knowledge and practical experience with data warehousing, ETL, data governance, Claude.AI, Copilot, and large language models.
  • A master’s degree is a strong plus.

लाभ

  • Hybrid work environment for office-based roles.
  • Work from anywhere for up to eight weeks each year.
  • Flexible vacation.
  • Two company-wide mental health days off.
  • Access to the Headspace app.
  • Retirement savings plan.
  • Tuition reimbursement.
  • Employee incentive programs.
  • Resources for mental, physical, and financial wellbeing.
  • Two paid volunteer days each year.
  • Pro bono consulting projects and ESG initiatives.
  • US health, dental, vision, disability, and life insurance programs.
  • 401(k) plan with company match.
  • Paid sick and safe time off.
  • Paid holidays, including two company mental health days.
  • Parental leave.
  • Sabbatical leave.
  • Optional hospital, accident, and sickness insurance.
  • Optional life and accidental death and dismemberment insurance.
  • Flexible Spending and Health Savings Accounts.
  • Fitness reimbursement.
  • Employee Assistance Program.
  • Group legal and identity theft protection benefit.
  • Access to a 529 plan.
  • Commuter benefits.
  • Adoption and surrogacy assistance.
  • Employee Stock Purchase Plan.
  • Eligible for an annual bonus based on enterprise and individual performance.

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