Python and PySpark Developer

We are seeking a motivated and detail‑oriented Python / PySpark Developer to support the development and maintenance of scalable data processing solutions. The ideal candidate should have foundational experience in Python and exposure to Apache Spark (PySpark), along with a strong willingness to learn and grow in a distributed data engineering environment.

You will work under the guidance of senior engineers and collaborate with data teams to build reliable data pipelines and contribute to analytics and reporting solutions. # Key Responsibilities ## Development & Engineering * Assist in developing and maintaining data pipelines using Python and PySpark * Support ETL/ELT workflows for batch data processing * Write clean, readable, and well‑structured Python code following best practices * Perform basic data transformations, aggregations, and validations * Debug and troubleshoot pipeline issues with guidance from senior developers ## Data & Platform * Work with structured and semi‑structured data formats (CSV, JSON, Parquet, etc.) * Assist in integrating data from databases, APIs, and cloud storage systems * Help ensure data quality and consistency within pipelines * Support migration of legacy scripts to modern data platforms ## Learning & Collaboration * Collaborate with team members on development tasks and code reviews * Participate in knowledge‑sharing and training sessions * Learn and adopt new tools, frameworks, and best practices * Assist in documenting data workflows and technical processes # Required Skills & Qualifications ## Technical Skills * Basic to intermediate proficiency in Python * 4 -7 years of experience * Exposure to Apache Spark / PySpark (internship or project experience is acceptable) * Understanding of fundamental programming and data structures * Basic knowledge of SQL and relational databases * Familiarity with data processing concepts and ETL fundamentals * Awareness of Linux/Unix command line is a plus ## Engineering Fundamentals * Understanding of coding best practices and version control (Git) * Basic debugging and problem‑solving skills * Exposure to unit testing concepts is a plus # Nice to Have (Preferred Skills) * Exposure to big data tools (Hive, Hadoop ecosystem, or similar) * Familiarity with cloud platforms (AWS / Azure / GCP) * Basic knowledge of job orchestration tools (Airflow, etc.) * Understanding of data pipelines and workflow lifecycle * Academic or project experience with data engineering or analytics # Ideal Candidate Traits * Strong willingness to learn and grow in a fast‑paced environment * Good analytical and problem‑solving skills * Effective communication and teamwork abilities * Attention to detail and commitment to quality ------------------------------------------------------ Job Family Group: Technology ------------------------------------------------------ Job Family: Applications Development ------------------------------------------------------ Time Type: Full time ------------------------------------------------------ Most Relevant Skills Please see the requirements listed above. ------------------------------------------------------ Other Relevant Skills For complementary skills, please see above and/or contact the recruiter. ------------------------------------------------------ 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.

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