Senior Data Developer

Senior Data Developer

Req number:

R8237

Employment type:

Full time

Worksite flexibility:

Hybrid

Who we are

CAI is a global services firm with over 9,000 associates worldwide and a yearly revenue of $1.3 billion+. We have over 40 years of excellence in uniting talent and technology to power the possible for our clients, colleagues, and communities. As a privately held company, we have the freedom and focus to do what is right—whatever it takes. Our tailor-made solutions create lasting results across the public and commercial sectors, and we are trailblazers in bringing neurodiversity to the enterprise.

Job Summary

We are looking for a motivated Senior Data Developer ready to take us to the next level! If you have experience in designing and implementing projection rules and dataflows using Python, and are looking for your next career move, apply now.

Job Description

​We are seeking an experienced Senior Data Developer to design and implementing projection rules and dataflows using Python. This position will be full-timeand hybrid at Mandaluyong City.

What You'll Do

• Contribute to the design and refinement of a robust and scalable solution architecture
• Translate existing code from VB into Python and expand the code to include additional functionalities
• Extract data from relevant online and internal sources using a variety of ingestion and integration methods
• Utilize technical components such as Azure Data Factory, Azure Data Lake, Databricks, Azure Blob Storage, Azure SQL Databases, and Power BI to design and implement end-to-end data solutions
• Ensure full compliance with ADB Software Engineering standards and data governance practices
• Build data pipelines and Databricks workflows that populate the DataMart in accordance with the approved data model
• Participate in the full project lifecycle and complete required project artifacts in accordance with established methodologies and standards

What You'll Need

Required:

• 5 years of experience as a developer and/or data engineer preferably for the banking sector and financial services sector
• Strong hands-on experience in multiple programming languages, including extensive prior work experience with Python
• Candidates with experience across languages such as Java, C# or similar enterprise- grade technologies are strongly encouraged
• • Hands-on experience with Azure DevOps, including source control, work item tracking and release management
• Experience in working with Visual Basic and SQL
• Experience with Azure Data Ecosystem with tool such as Azure Data Factory, Azure Data Lake, Databricks, Azure Blob storage and Azure SQL Databases
• Strong understanding of data engineering best practices

Preferred:

• Ability to safely and successfully perform the essential job functions
• Sedentary work that involves sitting or remaining stationary most of the time with occasional need to move around the office to attend meetings, etc.
• Ability to conduct repetitive tasks on a computer, utilizing a mouse, keyboard, and monitor
• Experience in setting up DataMarts
• Experience in PowerBI and/or Tableau
• Experience working with ITIL and/or Scrum/Agile frameworks
• Experience in developing infrastructure and deployment automation scripts for Azure environments
• Exposure to Agile/Scrum environments, DevOps based delivery framework
• Strong communication skills in both spoken and written English
• Numerical, analytical and ability to take decision based on data analysis
• Able to liaise with relevant IT teams to develop effective solutions

Physical Demands

• Ability to safely and successfully perform the essential job functions
• Sedentary work that involves sitting or remaining stationary most of the time with occasional need to move around the office to attend meetings, etc.
• Ability to conduct repetitive tasks on a computer, utilizing a mouse, keyboard, and monitor

Reasonable accommodation statement

If you require a reasonable accommodation in completing this application, interviewing, completing any pre-employment testing, or otherwise participating in the employment selection process, please direct your inquiries to [email protected] or (888) 824 – 8111.