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Job Description:
We are seeking a highly skilled and experienced Senior Developer (C12) to join our dynamic technology team in Citi India. This role requires an individual with deep expertise in Python, PySpark, Big Data technologies, and SQL, coupled with a strong ability to work independently and contribute significantly to complex data engineering initiatives. The ideal candidate will have a proven track record in designing, developing, and optimizing scalable data solutions, with experience in ETL processes and a keen interest in leveraging the latest technologies. Domain knowledge in Know Your Customer (KYC) processes will be a significant advantage, enabling the candidate to contribute to critical financial crime compliance projects.
Responsibilities:
- Design, develop, and implement robust, scalable, and high-performance data pipelines and applications using Python, PySpark, and Big Data technologies.
- Work autonomously to analyze requirements, propose technical solutions, and deliver high-quality code and data products, ensuring alignment with architectural standards and business objectives.
- Utilize expertise in various Big Data platforms (e.g., Hadoop, Hive, Kafka, Spark) to process, transform, and manage large datasets efficiently.
- Write complex SQL queries, stored procedures, and optimize database performance for large-scale data warehousing and analytics solutions.
- Develop and enhance ETL (Extract, Transform, Load) processes, ensuring data quality, integrity, and timely delivery. Experience with various ETL tools and methodologies is a plus.
- Proactively research, evaluate, and integrate new and emerging technologies, frameworks, and tools to improve development processes and solution capabilities.
- Ensure adherence to coding standards, conduct thorough code reviews, and implement best practices for software development, data governance, and security.
- Diagnose and resolve complex technical issues related to data pipelines, performance bottlenecks, and system integrations in a fast-paced environment.
- Collaborate effectively with cross-functional teams including architects, data scientists, business analysts, and QA engineers. Provide technical guidance and mentorship to junior team members.
- Leverage KYC domain knowledge to develop data solutions that support client due diligence (CDD), and other financial crime compliance initiatives, understanding the nuances of regulatory data requirements.
- Identify opportunities to integrate AI-driven functionalities to enhance KYC processes, such as intelligent data extraction, anomaly detection, or predictive analytics.
Experience
- 8 + years of experience in Applications Development, Systems Analysis, or equivalent senior engineering roles.
- Extensive hands‑on experience delivering enterprise‑scale, database‑driven platforms in a regulated environment.
Technical Skills
- Expert-level proficiency in Python programming, including object-oriented design, data structures, algorithms, and extensive experience with various Python libraries (e.g., Pandas, NumPy, Flask/Django for web development, asyncio for async programming).
- Deep expertise in developing, optimizing, and deploying PySpark applications for large-scale data processing, ETL, and real-time analytics on distributed systems (e.g., Spark SQL, Spark Streaming, DataFrames).
- Strong understanding of Apache Spark architecture, Hadoop ecosystem, and experience with distributed computing concepts. Familiarity with big data storage formats (e.g., Parquet, ORC).
- Hands-on experience with at least one major cloud provider (AWS, Azure, or GCP), specifically with their compute, storage, and data services (e.g., S3, ADLS, EMR, Databricks, Azure Synapse).
- Solid experience with both relational databases (e.g., PostgreSQL, Oracle, SQL Server, MySQL) and NoSQL databases (e.g., MongoDB). Strong SQL writing and optimization skills.
- Experience in designing, developing, and consuming RESTful APIs using Python frameworks (e.g., Flask, FastAPI, Django REST Framework).
- Strong understanding and practical experience with CI/CD tools (e.g., Jenkins, GitLab CI, Azure DevOps) and containerization technologies (Docker, Kubernetes).
- Expert-level proficiency with Git.
- Experience with unit testing (e.g., Pytest), integration testing, and performance testing frameworks for Python and PySpark applications.
- Experience with tools like Apache Airflow, Azure Data Factory, or AWS Step Functions.
- Exposure to or direct experience with Artificial Intelligence (AI) and Machine Learning (ML) concepts, frameworks (e.g., TensorFlow, PyTorch), or relevant projects is a significant advantage
Soft Skills
- Exceptional analytical and problem-solving abilities, with a strong capacity to understand complex business needs and translate them into effective technical solutions.
- Excellent leadership, team management, and mentoring capabilities.
- Superior verbal and written communication skills, with the ability to articulate complex technical concepts clearly to both technical and non-technical audiences.
- Strong collaboration and interpersonal skills, with a proven ability to work effectively with cross-functional teams.
- Highly proactive, results-oriented, and a strong commitment to delivering high-quality, innovative solutions.
- Ability to thrive and lead in an agile, dynamic, and fast-paced work environment.
Education:
- Bachelor’s degree/University degree or equivalent experience
- Master’s degree preferred
This role offers a challenging and rewarding opportunity for a seasoned developer to make a significant impact on critical data initiatives within Citi's global technology landscape, contributing to robust and compliant financial systems.
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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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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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.
