Overview
On Site
Contract - W2
Skills
Big Data
Data Science
Machine Learning (ML)
Capital Market
Asset Management
Fraud
AML
Centricity
Risk Management
Analytics
Data Engineering
Business Intelligence
Qlik Sense
PySpark
Snow Flake Schema
Data Warehouse
Mathematics
Statistics
Computer Science
Communication
Presentations
PL/SQL
Data Analysis
Data Mapping
Data Migration
System Integration
Wealth Management
Financial Services
Tableau
Qlikview
Informatica
Extract
Transform
Load
Databricks
Job Details
Title: Data Engineer
Role is on-site in McLean, VA 5 days/week
6 Months Contract
Local candidates only
In addition to below description, PySpark and Snowflake are must haves.
What You'll Get to Do:
Role is on-site in McLean, VA 5 days/week
6 Months Contract
Local candidates only
In addition to below description, PySpark and Snowflake are must haves.
What You'll Get to Do:
- Solve challenging problems using data science and advanced machine learning methods.
- Apply data science techniques to process and wrangle data in preparation for analysis; and analyse big data and perform exploratory analysis to uncover insights and identify innovative opportunities.
- Leverage machine learning techniques, to explore and examine data from multiple disparate sources to provide a competitive advantage or address a pressing business problem.
- Define approaches to embed and scale machine learning models with senior data scientist oversight
- Assist on client pitches and proposals for machine learning projects
- Work on difficult engineering problems with scientists and business leaders with minimal engineering or data science backgrounds.
- Work with the data science team to build reusable assets, solutions and develop best practices for current and future business problems.
- Work with the engineering team to develop end to end production ML systems
- Staying up to date on the latest machine learning capabilities.
- Work with other analysts to utilize analytics to solve business problems in various areas within financial services, like capital markets, wealth management, asset management, fraud, AML, process mining, customer centricity, risk management, talentology etc.
- 7+ years of relevant experience in analytics, business intelligence, data engineering, or related field
- 5+ years of demonstrated experience in building enterprise grade BI applications using tools such as: QlikSense, QlikView, Tableau or Looker
- Mujstg have PySpark and Snowflake experience
- Experience working in large data warehouse environments
- Bachelor's degree in a quantitative area such as math, statistics, computer science, engineering, or equivalent experience
- Strong verbal/written communication and data presentation skills, including an ability to effectively communicate with both business and technical teams
- Experience in using of Oracle SQL tools for data analysis is required
- Candidates having strong experience in Data Mapping, Data Migration and system integration projects with knowledge of Wealth Management and related investment products.
- Would be a plus, with knowledge in any of the Wealth Management products like TCS BaNCS
- Financial services industry experience
- Experience with data visualisation tools (Tableau, QlikView etc)
- Experience with Informatica, ETL, Databricks
Employers have access to artificial intelligence language tools (“AI”) that help generate and enhance job descriptions and AI may have been used to create this description. The position description has been reviewed for accuracy and Dice believes it to correctly reflect the job opportunity.