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.
The Applications Development Technology Lead Analyst is a senior level position responsible for establishing and implementing new or revised application systems and programs in coordination with the Technology team. The overall objective of this role is to lead applications systems analysis and programming activities.
Responsibilities:
- Design, develop, and maintain scalable, high-performance data pipelines and data-centric applications using Python and PySpark.
- Optimize and tune complex PySpark jobs to ensure efficiency and performance on large-scale distributed datasets.
- Architect and implement ETL/ELT processes to ingest data from a wide variety of source systems into our data lake and data warehouse.
- Collaborate with data scientists, BI analysts, and software engineers to understand data requirements and deliver high-quality data solutions.
- Develop and enforce data quality standards, including data validation, cleansing, and monitoring frameworks.
- Contribute to the design and evolution of our data platform architecture, promoting best practices in data engineering.
- Mentor and guide junior engineers, providing technical leadership and fostering a culture of continuous learning and improvement.
- Automate workflows and processes using tools like Apache Airflow, and implement CI/CD for data engineering solutions.
- Troubleshoot and resolve complex data and pipeline issues in a timely manner..
Recommended Qualifications:
- .8+ years of professional experience in data engineering or software development with a focus on data-intensive applications.
- Expert-level proficiency in Python, including a deep understanding of its data structures, libraries (e.g., Pandas, NumPy), and best practices for writing clean, efficient code.
- Extensive hands-on experience with Apache Spark and its Python API (PySpark), including performance tuning, optimization, and understanding of Spark's architecture (RDDs, DataFrames, Datasets).
- Strong experience with distributed data processing and big data technologies (e.g., Hadoop ecosystem, HDFS, Hive).
- Advanced proficiency in SQL and experience with various database technologies.
- Strong analytical and problem-solving skills with the ability to tackle complex data challenges.
- Excellent communication and collaboration skills.
Education:
- Bachelor's or Master's degree in Computer Science, Engineering, Data Science, or a related quantitative field
This job description provides a high-level review of the types of work performed. Other job-related duties may be assigned as required.
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Technology
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Applications Development
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Full time
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$120,800.00 - $170,800.00
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Please see the requirements listed above.
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For complementary skills, please see above and/or contact the recruiter.
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We use automated processing, including artificial intelligence, for our legitimate business interests (or our reasonable and appropriate business purposes) to identify and align the candidate's skills and abilities with a specific job opening. Additionally, if you so choose, or consent, we can match your skills and abilities to other suitable roles at Citi.
Importantly, all our hiring processes and decisions, including determining your suitability for a role, are conducted, checked, and decided by individuals. Our automated processing and AI do not involve relying on automatic or autonomous decision-making. Please refer to any Jurisdictional Considerations, with specific provisions for your country (where relevant) for further details.
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This job opening is for an existing job vacancy.
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Citi is an equal opportunity employer, and qualified candidates will receive consideration without regard to their race, color, religion, sex, sexual orientation, gender identity, national origin, disability, status as a protected veteran, or any other characteristic protected by law.
