Senior Software Developer, Gft

Job Summary

Job Description

What is the opportunity?

Are you a talented, creative, and results-driven professional who thrives on delivering high-performing applications. Come join us!

Global Functions Technology (GFT) is part of RBC's Technology and Operations division. GFT's impact is far-reaching as we collaborate with partners from across the company to deliver innovative and transformative IT solutions.

Our clients represent Risk, Finance, HR, CAO, Audit, Legal, Compliance, Financial Crime, Capital Markets, Personal and Commercial Banking and Wealth Management.

We also lead the development of digital tools and platforms to enhance collaboration.

The AI and Data Strategy Team is responsible for supporting various data lineage activities within Royal Bank of Canada, as well as, spearheading deployment of strategic analytic initiatives, through collaboration with major functions within the bank.

We value positive attitude, willingness to learn, open communication, teamwork, and commitment to clean, secure and well-tested code.

What will you do?

The Senior Developer contributes to setting a clear vision and strategic direction for data governance initiatives. This involves understanding the long-term goals of the organization and aligning data governance strategies accordingly.

Moreover, the incumbent plays a key role in motivating and inspiring the team to achieve high standards and embrace the data governance framework when engaging with various stakeholders across the Enterprise.

Articulate complex data governance concepts in a way that is easily understood by various stakeholders, including technical teams and business users.

Cross-functional collaboration : Fostering a collaborative environment where various departments work together towards common data governance goals.

This includes IT, legal, compliance, and business units. Develop strong relationships with stakeholders across the Enterprise.

• Analytical thinking : Ability to analyze complex problems, identify root causes, and develop effective solutions. This is crucial for addressing data governance challenges and improving data quality.
• Adaptability and flexibility : Be flexible and open to change, especially as new data governance technologies, regulations, and best practices emerge.

Seek feedback to improve performance and effectiveness in projects.

Advise and mentor solution implementors as well as lead by example. Follow and enforce local and global practices, always prioritizing high quality and timely deliveries.

What do you need to succeed?

Must-Have :

• Undergraduate degree or higher, preferable in Computer Science, Engineering or Finance other quantitative discipline; minimum of 7-10 years of experience in a similar role.
• Having demonstrated advanced programming skills in Python, especially in data manipulation, automation, and analytics.

Prior experience in Java / Scala for developing custom data processing solutions and integrations. Shell Scripting : Advanced shell scripting skills for automating administrative tasks and data processes.

• Source control, ie. can you find the breaking commit after a merge? Identify users where aren't following the local git practice?
• Deep understanding of both relational (SQL Server, Oracle) and non-relational databases (NoSQL, MongoDB). Advanced SQL Proficiency : Ability to write complex SQL queries, optimize performance, and manage large-scale data operations.
• Prior extensive experience with at least one of the tools like Apache Atlas, Informatica, Collibra, Talend, Alation, and other data lineage and governance platforms, especially prior experience in customization and integration : having demonstrated the ability to implement, configure, customize, and integrate these tools to fit organizational needs.
• Expertise in at least one ETL tools such as Informatica, Talend, Microsoft SSIS, and Apache NiFi.
• Data Integration Design : Designing robust data integration frameworks to ensure seamless data flow across systems.
• Strong knowledge of parsing / parsers, parsing algorithms, and data structures.
• Managing Metadata Repositories : Experience with setting up and managing metadata repositories.
• Implementing Standards : Familiarity with implementing metadata standards and frameworks to maintain data quality and governance.

Nice-to-have :

• Hadoop / Spark : Expertise in using big data technologies like Hadoop and Apache Spark.
• Cloud Platforms : Proficiency with AWS, Google Cloud, or Azure for scalable data storage, processing, and analytics solutions.
• Experience with setting up and managing metadata repositories; familiarity with implementing metadata standards and frameworks to maintain data quality and governance.
• Having prior experience supporting compliance and security protocols, ensuring data governance processes comply with GDPR, CCPA, and other data privacy laws.
• An understanding of application and data security
• Basic understanding of NLP / GenAI, concept of embedding, and GraphDB and other popular NonSQL to model non-tabular data is a plus.

What's in it for you?

We thrive on the challenge to be our best, progressive thinking to keep growing, and working together to deliver trusted advice to help our clients thrive and communities prosper.

We care about each other, reaching our potential, making a difference to our communities, and achieving success that is mutual.

• A comprehensive Total Rewards Program including bonuses and flexible benefits, competitive compensation, commissions, and stock where applicable
• Leaders who support your development through coaching and managing opportunities
• Ability to make a difference and lasting impact
• Work in a dynamic, collaborative, progressive, and high performing team
• A world-class training program in financial services
• Flexible work / life balance options
• Opportunities to do challenging work

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Job Skills

Active Learning, Agile Methodology, Application Integrations, Application Servers, Detail-Oriented, Enterprise Application Delivery, Group Problem Solving, Pandas Python Library, PL / SQL (Programming Language), Programming Languages, Python (Programming Language), Software Development Life Cycle (SDLC)