What You'll Do:
Enable the organization to effectively leverage its data assets for decision-making, innovation and strategic growth. Use engineering skills to optimize data processing and storage systems for performance, scalability, and cost-effectiveness. Roles in this family involve a combination of software engineering, database management and the analysis of data.
Apply the knowledge of data characteristics and data supply pattern, develop rules, and tracking process to support data quality model.
Prepare data for analytical use by building data pipelines to gather data from multiple sources and systems.
Integrate, consolidate, cleanse and structure data for use by our clients in our solutions.
Perform design, creation, and interpretation of large and highly complex datasets.
Stay up-to-date with the latest trends and advancements in GCP and related technologies,
Actively proposing and evaluating new solutions.
Understand best practices for data management, maintenance, reporting and security and
Use that knowledge to implement improvements in our solutions.
Implement security best practices in pipelines and infrastructure.
Develop and implement data quality checks and troubleshoot data anomalies.
Provide guidance and mentorship to junior data engineers.
Review dataset implementations performed by junior data engineers.
What Experience You Need:
BS degree in a STEM major or equivalent discipline; Master’s Degree strongly preferred
5+ years of experience as a data engineer or related role
Cloud certification strongly preferred
Advanced skills using programming languages such as Python or SQL and intermediate level experience with scripting languages
Intermediate level understanding and experience with Google Cloud Platforms and overall cloud computing concepts, as well as basic knowledge of other cloud environments
Experience building and maintaining moderately-complex data pipelines, troubleshooting issues, transforming and entering data into a data pipeline in order for the content to be digested and usable for future projects
Experience designing and implementing moderately and more complex data models and experience enabling optimization to improve performance
Demonstrates advanced Git usage and CI/CD integration skills
Requires in-depth knowledge and experience needed to operate independently with limited guidance and oversight
Applies a new perspective on existing solutions to solve complex problems
Makes decisions within guidelines and policies that impact a range of customer, operational, process, or project activities
Develops work plans for short-term assignments of moderate or high complexity
Solid experience in data analysis, machine learning, and AI development
Hands-on experience with cloud-based AI platforms and tools
Strong analytical and problem-solving skills
Ability to work independently and as part of a team
Good communication and presentation and visualisation skills
What Could Set You Apart:
Experience with specific AI techniques, such as neural networks or natural language processing
Knowledge of the financial services industry
Contributions to open-source AI projects
Experience with data visualization tools
Any Graduate