Data Engineer (Remote)

Gonova Recruitment; United States; Remote; USD 90,000 - 130,000; Full time

Job summary

Ganova Recruitment seeks a highly analytical Data Engineer to design, implement and optimize data management solutions across client projects in the US. You will manipulate, model, and understand inter-dependencies between data sources and business processes, enabling reliable data flow and insightful analytics.

You will build interfaces for data upload, integrate with data science tools, and empower business users to visualise data with PowerBI, Tableau, or QlikView.

Qualifications

• Data integration and transformation experience.
• Experience creating reports with Excel or equivalent.
• Understanding inter-dependencies between data sources and business processes.

Responsibilities

• Configure and implement at our various clients.
• Understand business requirements of clients in asset management.
• Construct end-to-end data service solutions.
• Interface with clients in a support role with 2nd tier support and enhancements.
• Manage clients' data requirements and data for financial markets.
• Develop architectures and data bases for large-scale processing systems.
• Ensure data architecture supports client business needs.
• Use scripting languages to connect systems and automate tasks.
• Suggest improvements for data reliability, efficiency and quality.
• Apply analytics and statistics to prepare data for prescriptive modelling.
• Automate workflows with process flow tools.
• Provide feedback to development teams on new functionality.
• Create user interfaces for data upload by users.

Skills

Data analysis

Data modelling

Data cleaning

Excel

SQL

SSIS

Database scripting

ETL/ELT

Data visualization

APIs

Programming language

Data Warehousing

R

Matlab

Education

BSc Computer Science / IT / Informatics related degrees

Tools

QlikView

PowerBI

Tableau

Excel

SSIS

Job description

This is an exciting opportunity for a highly analytical person with a knack for data analysis. Involving manipulation, modelling and being responsible for the understanding of inter-dependencies between various data sources and business processes involving data flow.

The Data Engineer will also be involved in designing and building data management solutions. There will also be elements of integrating with data science tools
allowing business users to visualise their data.

Key Responsibilities / Accountabilities

• The configuration and implementation at our various clients.
• Understand the business requirements of our clients, the focus being the research and
• investment process of these Asset Managers.
• Construct end to end data service solutions
• Liaise and Interface with clients in a support role, providing 2nd Tier support and enhancement services
• Understand and manage the clients data requirements, the data being specific to the financial markets.
• Contribute towards a team that develops, constructs, tests and maintains architectures (such as data bases and large-scale processing systems)
• Ensure data architecture will support the requirements of the clients business
• Employ a variety of languages and tools (e.g. scripting languages) to marry systems together
• Recommend ways to improve data reliability, efficiency and quality
• Employ sophisticated analytics and statistical methods to prepare data for use in prescriptive modelling
• Automate work by using process flow tools
• Provide feedback to the Development team regarding new functionality and issue logging
• Creation of user interfaces allowing users to upload their own data

Technical Skills / Expertise

• Data analysis, modelling and surfacing
• Data cleaning / Integrity checking
• Experience of creating reports using Excel or equivalent
• SQL, SSIS, database scripting (stored procedures, user defined functions, queries, triggers)
• Iterative testing including debugging and refactoring
• Constructing data queries by combining multiple data sources
• Present information using data visualization techniques (such as QlikView, PowerBI and Tableau)
• Experience of consuming APIs (advantageous)
• Some experience in a programming language (advantageous)
• Any sort of ETL or Data Warehousing knowledge (advantageous)
• Statistical languages (such as R and Matlab) (advantageous)

Preferred Qualifications & Experience:

• Tertiary degree in BSc Computer Science, B.IT or Informatics related degrees, Mathematics, Applied Mathematics, Actuarial Science or an Engineering degree.
• Understanding and working experience in data integration and transformation

The candidate will also need to have the following attributes:

• A passion to learn and extend knowledge outside of the work sphere
• Good at problem solving (core to the role)
• The ability to self-manage and self-motivate
• The ability to communicate clearly with clients and the team
• Be a Team player
• Be adaptable
• Be able to efficiently and effectively plan and structure tasks
• Execute assignments against deadlinesThrive in an agile environment