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
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Job Family Group:
Technology
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Job Family:
Applications Development
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Time Type:
Full time
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Most Relevant Skills
Please see the requirements listed above.
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Other Relevant Skills
For complementary skills, please see above and/or contact the recruiter.
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