Data Engineer (data visualization: Querying Databases, Data Structuring, Connecting APIs, Scoping Requirements, Reviewing Code) Contract at Sunnyvale, CA

Data Engineer (data visualization: Querying Databases, Data Structuring, Connecting APIs, Scoping Requirements, Reviewing Code) Contract at Sunnyvale, CA

Develop and maintain scalable ETL/ELT pipelines for wallets and payments data from various sources.

Design and implement data models optimized for analytics and visualization.

Collaborate with data scientists, analysts, and product teams to understand data needs and deliver actionable insights.

Build and enhance dashboards, reports, and visualizations to communicate complex data trends clearly and effectively.

Ensure data quality, integrity, and security across all data workflows.

Optimize data workflows for performance and scalability.

Stay updated with best practices in data engineering, visualization tools, and payments industry trends.

Basic Qualifications:

Bachelor's or Master’s degree in Computer Science, Data Science, or related field.

• Experience in data engineering, with a focus on payments or financial data.
• Proficiency in SQL and experience with big data technologies like Spark, Hadoop, or equivalent.
• Querying Databases, Data Structuring, Connecting APIs, Scoping Requirements, Reviewing Code
• Strong programming skills in Python, Scala, or Java.
• Experience with data visualization tools such as Tableau, Power BI, Looker, or similar.
• Excellent understanding of data modeling, data warehousing, and ETL processes.
• Familiarity with payments industry standards, wallets, and financial transactions.

Preferred Qualifications:

Experience working with real-time data streams and event-driven architectures.

Knowledge of cloud platforms such as AWS, GCP, or Azure.

Strong analytical mindset with the ability to convey complex insights visually.

Passion for innovation in payment technologies and data visualization.