Data Engineer
3B Staffing LLC, Mc Lean, VA, United States
Data Engineer
3 openings.
Location: Role is on-site in McLean, VA 5 days/week
Interview process: Teams call then onsite interview
Local candidates only
Rate= $55-58/hr
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.
What You'll Bring with You:
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
Skills:
Financial services industry experience
Experience with data visualisation tools (Tableau, QlikView etc)
Experience with Informatica, ETL, Databricks
3 openings.
Location: Role is on-site in McLean, VA 5 days/week
Interview process: Teams call then onsite interview
Local candidates only
Rate= $55-58/hr
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.
What You'll Bring with You:
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
Skills:
Financial services industry experience
Experience with data visualisation tools (Tableau, QlikView etc)
Experience with Informatica, ETL, Databricks