Data Engineer with Salesforce

Found in: Appcast Linkedin GBL C2 - 2 weeks ago

New York, United States Apex Staffing NY Full time

About the Role

Fintech client is looking for an Assistant Vice President Data Engineer to join their Data and Analytics team. This role will help build the infrastructure to make data a central part of the company. Data driven decisions are very critical for the company, as a result, they are looking for an Engineer that will be able to use the data and understand it to help make actionable decisions. The ideal candidate can quickly grasp complex and fluid business problems and solve them with robust and creative analyses after having built highly performant and scalable infrastructure to warehouse the data.

Responsibilities

  • Leverage open-source technologies and cloud solutions to build elegant features that client's platform users love.
  • Develop and automate large scale, high-performance data platform infrastructure to drive client's business growth and enable data-driven organization.
  • Design and develop reusable components and frameworks for ingestion, 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.
  • Design and develop in Salesforce and Apex to automate processes and meet a variety of business needs.
  • Coordinate closely with sales and product development teams daily to push client's FinTech strategy and improve the overall profitability of our business.

Qualifications

  • Bachelor’s degree in computer science, data science, mathematics, statistics or other quantitative area or related field
  • 1-4 years of experience with open-source technologies or object-oriented/functional programming, strong ability to write easy-to-scale, and high-quality code
  • Experience in at least one 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)
  • Experience with Salesforce development, Apex, and working with Apex classes, batching, bulk processing, triggers, events and event buses, and writing test classes
  • Experience using probability/statistics
  • Detail-oriented, able to multitask, and work in a fast-paced environment
  • Able to work independently while also being a strong team player
  • Excellent written and verbal communication skills
  • Passionate about programming and cutting-edge technologies
  • Master’s in computer science, data science, or related field is preferred
  • Professional experience with Python and JVM based languages such as Scala, Java, and Kotlin is preferred
  • Experience building data-pipelines, data-lakes and data warehouses is preferred
  • Good knowledge of financial markets and financial instruments is preferred
  • Experience with AWS solutions such as Lambda, S3, Kinesis, ElastiCache is preferred
  • Familiar with AWS and infrastructure-as-code (terraform or cloud formation) is preferred
  • Experience with Salesforce and Apex development in processing large data sets is preferred
  • Familiar with the use and restrictions of PII data for analysis, research, development, and testing is preferred
  • Full-time or internship experience as a data engineer in the financial technology industry is a plus

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