Mid-Senior Level Data Engineer

28 Apr 2024

Vacancy expired!

Quickly grasp complex business problems and solve them with robust analyses after having built highly performant and highly scalable infrastructure to warehouse the data. Enjoy discovering and using the latest technologies, working on creative software projects, and thinking about new business plans.

Client DetailsA leading global fintech company powering the world's alternative investment marketplace. They transformed how the wealth management, banking, and asset management industries facilitate access for clients to private investments, including equity, credit, real estate, infrastructure, structured investments, annuities, and risk-managed solutions. They do this through intuitive, end-to-end technology and supporting services; education tools and resources; and robust diligence, compliance, and portfolio analytics capabilities.

Description
  • Leverage open-source technologies and cloud solutions to build new features
  • Develop and automate large scale, high-performance data platform infrastructure
  • Design and develop reusable components and frameworks for cleansing, and data quality.
  • Streamline the ingestion of raw data from various sources into our Data Lake and Data Warehouse.
  • Design data models for optimal storage and retrieval that represent the product entities and meet business requirements.
  • Coordinate closely with sales and product development teams daily

Profile

- Bachelor's Degree in Computer Science, Data Science, Mathematics, Statistics or other quantitative area or related field

- 4-8 years of experience with open-source technologies or object-oriented or functional programming, able to write easy-to-scale, high-quality code

- Experienced in at least 1 numeric research framework (python/pandas, R/Splus, Octave/Matlab)

- Familiar with OLAP (Redshift, Snowflake) and OLTP (PostgreSQL, MongoDB) databases

- Familiar with various database designs (Relational, Columnar, NoSQL)

- Some background in probability/statistics

- Able to work independently while also being a strong team player

- Master's in computer science, Data Science or related field

- Professional experience with Python and JVM based languages such as Scala, Java, and Kotlin

- Experience building data-pipelines, data-lakes, and data warehouses.

- Good knowledge of financial markets and financial instruments

- Experience with AWS solutions such as Lambda, S3, Kinesis, ElastiCache

- Familiar with AWS and infrastructure-as-code (terraform or cloud formation)

- Familiar with the use and restrictions of PII data for analysis, research, development, and testing

Job Offer- Base

- 401k Match

- 100% Coverage for Dental, Medical, Vision

- Unlimited PTO

- Annual performance bonus

- EquityMPI does not discriminate on the basis of race, color, religion, sex, sexual orientation, gender identity or expression, national origin, age, disability, veteran status, marital status, or based on an individual's status in any group or class protected by applicable federal, state or local law. MPI encourages applications from minorities, women, the disabled, protected veterans and all other qualified applicants.

  • ID: #49814937
  • State: Connecticut Greenwich 06830 Greenwich USA
  • City: Greenwich
  • Salary: $125000 - $165000 per annum
  • Job type: Permanent
  • Showed: 2023-04-28
  • Deadline: 2023-06-26
  • Category: Et cetera