Data Engineer (Banking/Finance Industry Must)- USC/GC only - No C2C - No C2C

As a Data Engineer at our company, your primary responsibilities will include designing, developing, and maintaining data systems to maximize performance and efficiency in the banking and finance sector. You'll be engaged in operational support for various applications and systems while implementing architecture best practices and secure, scalable enterprise solutions. Collaboration with business partners and leading Agile teams will also be crucial components of your role.

To apply for the Data Engineer position at our company, you should have at least 8 years of experience in data engineering and ETL processes, specifically with Palantir Foundry, Python, and PySpark. A minimum of 5 years of hands-on experience with Cloud technologies, particularly AWS, is also necessary. Strong analytical and problem-solving skills, along with excellent communication and collaboration capabilities, are key to succeeding in this role.

While experience in the utility domain is considered a plus for the Data Engineer position at our company, it is not a strict requirement. Candidates with solid backgrounds in data engineering and relevant technologies will still be strongly considered. The focus will be on your overall skill set, experience with data-driven applications, and ability to work in an Agile environment.

For the Data Engineer position at our company, familiarity with Palantir Foundry, Python, and PySpark is essential. These programming languages and tools are key to designing and developing our data systems effectively. Additionally, experience with data pipeline construction and ETL operations will be beneficial for successfully fulfilling your role.

In the Data Engineer role at our company, collaboration is vital to success. You will work closely with both technical teams and business partners to develop secure and efficient solutions. Your ability to communicate effectively and lead in an Agile environment will enhance teamwork, allowing for innovative ideas and successful project outcomes.

When answering this question, focus on detailing the ETL projects you've worked on, the tools you used, and the outcomes. Highlight specific experiences with Palantir Foundry or other relevant technologies, including how you optimized data flows and ensured data quality.

Discuss the best practices you follow to maintain data security, such as employing encryption methods, access controls, and regular audits. Provide examples from your past experiences where you've successfully implemented these protocols.

Talk about your experience in facilitating Agile ceremonies, encouraging team collaboration, and promoting a culture of continuous improvement. Share specific examples of how you've helped teams to meet their goals effectively.

Provide a detailed account of a specific project, outlining the challenges faced, your approach to overcoming them, and the final results. Emphasize your problem-solving skills and what you learned during the process.

Highlight your commitment to continuous learning, mentioning resources like online courses, professional certifications, industry conferences, and tech blogs you follow. This demonstrates your proactive approach to staying informed on trends and innovations.

Share a specific instance where you collaborated with business partners, showcasing your communication skills and how your technical expertise helped achieve their objectives. This could involve describing a successful project that required input from multiple stakeholders.

Discuss the tools and technologies you’re familiar with for data visualization, such as Tableau or Power BI, and explain the reasons for your preference—focusing on aspects like user-friendliness, integration capabilities, and the insights they can provide.

Talk about your strategies for identifying performance bottlenecks, using specific tools or methodologies. Highlight your experience in optimizing SQL queries or improving ETL processes and the outcomes of those efforts.

Discuss your experience deploying data solutions in the cloud, specifically AWS, covering aspects such as data storage, processing frameworks, and scalability. Include any specific projects where you implemented cloud technologies.

Express your passion for data and how it can drive decision-making in the banking and finance sector. Mention insights into the industry's data challenges and how you hope to contribute positively to those by leveraging your skills in this role.