Early Warning
Early Warning
Early Warning ऐसी वित्तीय प्रौद्योगिकी विकसित करती है, जो बैंकों और क्रेडिट यूनियनों को धन सुरक्षित रूप से स्थानांतरित करने, पहचान सत्यापित करने और भुगतान जोखिम का प्रबंधन करने में मदद करती है। इसके नेटवर्क-आधारित प्लेटफ़ॉर्म और ब्रांडों में व्यक्ति-से-व्यक्ति भुगतान के लिए Zelle, बैंक से जुड़े डिजिटल चेकआउट के लिए Paze और पहचान तथा धोखाधड़ी संबंधी समाधानों के लिए Certos शामिल हैं। साझा डेटा, विश्लेषण और जोखिम संबंधी बुनियादी ढाँचे के माध्यम से बैंकिंग क्षेत्र की सेवा करते हुए, कंपनी वित्तीय संस्थानों को उपभोक्ताओं और छोटे व्यवसायों को धोखाधड़ी से बचाने में मदद करती है और लेन-देन को तेज़ बनाती है।

Data Engineer II, Zelle Platform (Hybrid)

Build BI solutions, ETL workflows, and analytics infrastructure for Early Warning’s Zelle payments platform. Develop Tableau dashboards and support software engineering for Data Science.

विवरण

  • Assess, design, and develop business intelligence solutions across multiple technology stacks
  • Partner with business users to define report and dashboard requirements and identify gaps in data, logic, and business understanding
  • Design and develop backend solutions for new data sources with the Cloudera technology stack
  • Build complex, visually engaging, interactive Tableau dashboards, scorecards, and reports
  • Perform detailed data analysis, including cause-and-effect investigations
  • Design ETL workflows and data transformations for production and ad hoc analyses and reporting
  • Research industry best practices and help shape strategic data platforms, tools, and processes
  • Recommend standards, policies, and procedures for business intelligence tools and systems
  • Provide business teams with technical support and training
  • Develop data infrastructure and analytics software tools for Data Science
  • Mentor and train interns
  • Advise Data Scientists on software engineering best practices
  • Partner with analytics leaders and engineers on architectural and software improvements to the Data Science platform
  • Work with Data Science leadership to improve ETL and cluster computing
  • Support risk management commitments while protecting system and data integrity and confidentiality

आवश्यकताएँ

  • Bachelor’s degree
  • Two to four years of progressively responsible experience developing data engineering solutions with PySpark, Python, Spark, or Scala in a Linux environment
  • Working knowledge of Tableau Server and Tableau dashboard development
  • Demonstrated testing, problem-solving, and analytical capabilities
  • Knowledge of dashboard development, reporting, data modeling, ETL, and systems design
  • Experience working with SQL and Spark
  • Experience developing software and data engineering solutions in Python
  • Experience with machine learning toolkits in Python or R
  • Experience building reusable data ingestion and storage frameworks with Hadoop or AWS S3
  • Knowledge of relational databases, query optimization and tuning, indexing, and partitioning
  • Experience partnering with internal engineering and technology teams on data infrastructure in a regulated enterprise environment
  • Strong communication skills
  • Successful completion of a background check and drug screening
  • Preferred: experience with Scala, Java, and PySpark
  • Preferred: experience with Hive or Impala and Linux
  • Preferred: fintech experience

लाभ

  • Medical coverage through PPO or HDHP plans, plus dental and vision insurance
  • Company contributions to HSA or pre-tax FSA accounts
  • 401(k) plan with an immediate 100% company Safe Harbor Match on the first 6% deferred
  • Flexible time off for exempt employees
  • Generous paid time off for non-exempt employees
  • 11 paid company holidays
  • Paid volunteer day
  • 12 weeks of paid parental leave
  • Maven Family Planning support covering egg freezing, fertility, adoption, surrogacy, pregnancy, postpartum care, early pediatrics, and returning to work
  • Discretionary incentive plan
  • Enhanced benefits programs and additional benefits

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