Full stack developer Jobs in Wainwright, AB

Title : Senior Data Developer / Engineer

Location : 100% Remote

Term : 1+ Year

Responsibilities :

As a Data Development / Engineer, you will be responsible for leading the development and managing of data solutions specific to the investment domain. You will work closely with investment professionals, data analysts, and other stakeholders to design and implement data systems that support investment decision-making processes. This role will lead the establishment and growth of a Data Development Center of Excellence to foster a culture of innovation and implement best practices in data development to support our data-driven decision-making process within the organization.

Skills Required :

This role requires strong technical skills in data engineering, investment data analysis, and financial domain knowledge.

Investment Data Solution Design : Collaborate with investment teams and data analysts to understand their data requirements and translate them into scalable and robust data solutions. Design data models, data pipelines, and integration processes to acquire, transform, and store investment-related data from various sources.

Investment Data Integration and Analysis : Develop ETL processes and data integration workflows to gather and combine data from different sources such as market data providers, trading platforms, and internal systems. Perform data analysis, data validation, and data cleansing to ensure data accuracy and integrity. Develop tools and frameworks for data visualization and reporting to support investment analysis and decision-making.

Database Management : Design and optimize database structures and schemas specifically tailored for investment data storage and retrieval. Ensure efficient data indexing, partitioning, and query optimization techniques are implemented to support fast and accurate data retrieval. Monitor database performance and make recommendations for improvements.

Investment Analytics : Collaborate with data analysts and investment professionals to identify and implement investment analytics models, algorithms, and techniques. Develop data pipelines and workflows to support portfolio analysis, risk assessment, performance attribution, and other investment-related analytics tasks.

Data Quality and Governance : Collaborate with cross-functional teams to establish data quality standards and data governance policies specific to investment data. Implement data validation, data cleansing, and data enrichment processes to maintain high-quality investment data. Ensure compliance with regulatory requirements and industry best practices related to investment data management and privacy.

Skills Required

Mandatory :

Bachelor's Degree in a relevant field (e.g. Computer Science, Software Engineering)

Solid experience (5+ years) in data engineering, database development, or a similar role, preferably within the Investment Industry

Strong proficiency in programming languages like Python, SQL and R

Excellent understanding of modern big data technologies including data lakes and data warehouses with knowledge of the underlying architecture

In-depth knowledge of investment data sources, such as market data feeds, trading platforms, and financial databases

Familiarity with investment analytics concepts, including portfolio analysis, risk assessment, and performance attribution

Experience with ETL tools, data integration platforms, and data visualization tools

Proven experience of working with cloud-based system

Strong understanding of relational and non-relational databases, data modeling, and query optimization

Knowledge of investment regulations, compliance requirements, and data privacy regulations in the investment industry

Desirable :

Hands on experience in the following technology stack : Azure Data Lake, Azure Data Factory, Databricks, and DBT is an asset

Please share detailed resume that supports the experience claimed for each skills required and (3) references should also be provided.

Send resume and details to [email protected]