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Salesforce data engineer
3 weeks ago
We need A senior (8+ years) Salesforce data engineer with experience with OLAP, Apex, AWS and SalesForce. They will Develop and automate large scale, high-performance data platform infrastructure to drive business growth and enable data-driven organization.
No Relocation ( Need local candidates in the NY/NJ area. )
Interview Process: Video
Location: Hybrid NYC/Midtown No Relocation Candidates must be onsite day one and go into the office three times a week.
Total IT experience:
Years working with: Salesforce Data Engineer
Years working with: OLAP
Years working with: Apex/SFDC development
Years working with: AWS
Full Name:
- Rate:
- Location:
- Availability to Interview: One Day's notice
- Availability to Start: Two weeks
- Email Address:
- Phone Number:
- Visa Status:
- Education - College/Year of graduation:
- Link to LinkedIN?
- Certifications?
Job Description:
- Leverage open-source technologies and cloud solutions to build elegant features that platform users love.
- Develop and automate large scale, high-performance data platform infrastructure to drive 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 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
- 6 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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