Senior Big Data Engineer - Vice President

Senior Big Data Engineer - Vice President

Working at Citi is far more than just a job. A career with us means joining a team of more than 230,000 dedicated people from around the globe. At Citi, you'll have the opportunity to grow your career, give back to your community, and make a real impact.

Job Overview

We are seeking a highly skilled and experienced Big Data Lead to join our Jersey City location in order to deliver on major business priorities within the Client Financial Platform. As a Big Data Lead, you will play a critical role in designing, developing, and maintaining our big data applications and pipelines. You will lead a team of talented engineers, providing technical guidance and mentorship while ensuring the successful delivery of high-quality solutions. This role requires a deep understanding of big data technologies, strong leadership skills, and a passion for data-driven decision-making.

Responsibilities

• Leadership and Mentorship: Lead and mentor a team of big data engineers, fostering a collaborative and high-performing environment. Provide technical guidance, code reviews, and support for professional development.
• Architecture and Design: Design and implement scalable and robust big data architectures and pipelines to handle large volumes of data from various sources.
• Technology Selection and Implementation: Evaluate and select appropriate big data technologies and tools based on project requirements and industry best practices. Implement and integrate these technologies into our existing infrastructure.
• Data Processing and Analysis: Develop and optimize data processing and analysis workflows using technologies such as Spark, Hadoop, Hive, and other relevant tools.
• Data Quality and Governance: Implement data quality checks and ensure adherence to data governance policies and procedures.
• Performance Tuning and Optimization: Continuously monitor and optimize the performance of big data systems and pipelines to ensure efficient data processing and retrieval.
• Collaboration and Communication: Collaborate effectively with cross-functional teams, including data scientists, business analysts, and product managers, to understand their data needs and deliver impactful solutions.
• Research and Development: Stay up-to-date with the latest advancements in big data technologies and explore new tools and techniques to improve our data infrastructure.

Qualifications

• Proven experience in leading and mentoring big data engineering teams.
• Strong understanding of big data concepts, architectures, and technologies (e.g., Hadoop, Spark, Hive, Kafka, NoSQL databases).
• Proficiency in programming languages such as Java, Scala, or Python.
• Excellent problem-solving and analytical skills.
• Strong presentation, communication, and interpersonal skills.
• Experience with data warehousing and business intelligence tools.
• Experience with data visualization and reporting.
• Knowledge of cloud-based big data platforms (e.g., AWS EMR, Azure HDInsight, Google Cloud Dataproc).
• Certifications in relevant big data technologies.
• Ability to adjust priorities quickly as circumstances dictate.
• Demonstrated leadership and project management skills.
• Consistently demonstrates clear and concise written and verbal communication.

Education:

• Bachelor's degree/University degree or equivalent experience.
• Master's degree preferred.

This job description provides a high-level review of the types of work performed. Other job-related duties may be assigned as required.