Database Analyst II

at  Robertson and Company

Our client is a top financial institution with significant North American holdings. They have operations across most major verticals, including institutional & corporate, wealth management, private client, commercial banking, treasury, and retail banking.
Introduction: Robertson is seeking a skilled Database Analyst with more than three years of experience to join our client.
Contract Dates: 4 months with potential to extend
Pay Range: $48.54 to $57.80 per hour
Business Hours: Monday to Friday (Remote)

Job Responsibilities:

• Work with data professionals to transform business requests into value-add data products and capabilities
• Automate, re-build, and re-imagine data processes to increase efficiencies in business processes
• Design, develop, and maintain scalable ETL/ELT pipelines
• Develop and uphold the data architecture, encompassing data models, schemas, and data dictionaries
• Integrate data from diverse sources, ensuring quality and consistency, and prepare it for analytical and operational uses
• Adhere to data governance policies and processes to safeguard data security, privacy, and compliance
• Demonstrate the ability to learn and apply best practices in big data and cloud computing to ensure scalable, efficient, and effective solutions

Experience & Qualification Requirements:

• 3+ years of experience as a Data Engineer
• Advanced Experience in automating data pipelines and working with data transformation tool
• Advanced experience with programming languages including Python, SQL, and Spark, C#
• Solid understanding of data warehousing concepts and relational data modeling
• Strong working knowledge of SQL queries, Databricks, and SQL Server
• Advanced experience with cloud technologies, particularly Azure, and Data as a Service (DaaS)

Personal Attributes:

• Excellent communication and interpersonal skills
• Strong analytical, problem-solving, and solution-oriented abilities

• Work with data professionals to transform business requests into value-add data products and capabilities
• Automate, re-build, and re-imagine data processes to increase efficiencies in business processes
• Design, develop, and maintain scalable ETL/ELT pipelines
• Develop and uphold the data architecture, encompassing data models, schemas, and data dictionaries
• Integrate data from diverse sources, ensuring quality and consistency, and prepare it for analytical and operational uses
• Adhere to data governance policies and processes to safeguard data security, privacy, and compliance
• Demonstrate the ability to learn and apply best practices in big data and cloud computing to ensure scalable, efficient, and effective solution