обновлено 5 дней назад
Data Engineer (Investment Management)
134 400 - 176 400$
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
Текст:
TL;DR
Data Engineer (Investment Management) (ELT, SQL, Python, Spark): Building streaming and batch pipelines, data marts, and data warehouses for Investment Management with an accent on data modeling, data quality, and scalable processing. Focus on designing complex ELT jobs, translating business requirements into technical specifications, and developing reliable data assets from disparate financial data sources.
Location: Boston, Massachusetts or Springfield, Massachusetts, United States
Salary: $134,400–$176,400 per year
Company
is a financial services company with a Corporate Technology team focused on data engineering and analytics for Investment Management.
What you will do
- Design, build, and measure complex ELT jobs that process disparate data sources.
- Develop streaming and batch pipelines, data marts, and data warehouse solutions.
- Establish data quality standards and implement tools that improve data accuracy and reliability.
- Document data flows, database designs, systems, and related technical information.
- Collaborate with Investment Management stakeholders, Data Analysts, Data Architects, and BI developers.
- Translate high-level business requirements into detailed technical specifications.
Requirements
- Bachelor’s degree in Computer Science, Engineering, Information Systems, or a related technical field.
- 8+ years of experience with data analytics, data modeling, and database design.
- 5+ years of experience with ELT methodologies and tools.
- 5+ years of experience designing, developing, tuning, and troubleshooting SQL.
- 3+ years of coding and scripting experience with Python, Java, or Scala.
- 2+ years of experience with Apache Spark.
Nice to have
- Experience with Informatica PowerCenter or Informatica IDMC.
- Experience with Vertica, Snowflake, Power BI, or Tableau.
- Investment Management domain knowledge, including security masters, securities trade and reconciliation operations, reference data management, and pricing.
- Familiarity with investment data platforms, IBOR/ABOR systems, regulatory requirements, and compliance standards.
- Strong analytical, communication, problem-solving, organizational, and stakeholder-influencing skills.
Culture & Benefits
- Work within a global Corporate Technology Data Engineering & Analytics team.
- Collaborate across Corporate Technology and Investment Management initiatives.
- Contribute to digital transformation and operational efficiency across Investment Management.
- Equal employment opportunity employer with accommodation support available during the application process.
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