Data Engineer
While working with teams in an Agile environment, you will be :
- Designing high quality data pipelines / architectures that are highly scalable and extensible
- Providing guidance on data modeling, analysis, visualization, and implementation of data solutions
- Estimating, tasking, and prototyping
- Collaborating with cross-functional team members on software features, design and implementation
- Participating in the end-to-end delivery of data consulting projects, ensuring completion on time, on budget, and meeting or exceeding client expectations
- Investigating, learning and applying new technologies and processes
- Clarifying requirements with team and client representatives
Must Have' Skills / Experience
- Design and implementation experience with Azure Cloud Data Services and / or AWS Cloud Data Services
- Design and implementation experience with Master Data Management, especially customer and reference data for financial services
- Proficiency in SQL
- In-depth knowledge of data management, analytics, business intelligence, and related technologies
- Growth mindset and desire to learn
- Bachelor’s Degree in : Data Science, Business Analytics or Computer Science (or equivalent education / experience)
Nice to Have' Skills / Experience
- Snowflake, Databricks, or Apache Spark experience
- PowerBI or Tableau or data visualization experience
- Talend, Apache Airflow, AWS Glue, and Azure Data Factor experience
- Proficiency in Python or R
- Experience in data modeling or schema design
- Experience with Kafka or other data streaming tools
- Financial Services industry experience
- Sales, pre-sales, or consulting experience
- Exposure to and enthusiasm for Agile approaches
- Master’s Degree in : Data Science, Business Analytics or Computer Science (or equivalent education / experience)
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