Spark Developer

Job Description

Job Title: PySpark Developer Location: Pune (On-site) Experience Required: 2+ years Industry: IT/Software Services Hiring For: One of our reputed clients in Pune About the Role: We are looking for a skilled and motivated PySpark Developer with 2+ years of hands-on experience to join a leading client project. The ideal candidate should have a strong foundation in big data processing, a deep understanding of Spark with Python (PySpark), and the ability to work in an onsite environment in Pune. Key Responsibilities: Design, develop, and maintain data pipelines using PySpark and Apache Spark . Work closely with data engineers, analysts, and architects to process and transform large-scale data sets. Optimize performance of Spark jobs and ensure efficient use of resources. Implement data validation, cleansing, and transformation logic. Integrate data solutions with existing systems and tools. Troubleshoot and resolve issues in data pipelines and Spark jobs. Write clean, maintainable, and well-documented code. Required Skills & Qualifications: Bachelor’s degree in Computer Science, Engineering, or a related field. Minimum 2 years of experience working with PySpark and large-scale data processing. Strong programming skills in Python and working knowledge of Spark Core , Spark SQL , and DataFrames . Experience with Hadoop , Hive , or other big data tools is a plus. Familiarity with cloud platforms (AWS, Azure, or GCP) is an advantage. Proficient in writing complex SQL queries. Good understanding of data structures, algorithms, and distributed computing concepts. Excellent communication and teamwork skills. What We’re Looking For: A detail-oriented and self-driven professional. Someone who enjoys solving data challenges and improving system performance. Willingness to work full-time from the client’s office in Pune . Immediate joiners or those with short notice periods will be preferred. Why Join? Exciting opportunity to work on high-impact big data projects. Collaborative and growth-oriented work environment. Exposure to modern data engineering tools and best practices. How to Apply: If this opportunity aligns with your skills and goals, apply directly through Indeed or send your resume to ankita.parbat@sanglob.in Job Types: Full-time, Permanent Pay: ₹450,000.00 - ₹600,000.00 per year Benefits: Health insurance Paid sick time Paid time off Provident Fund Schedule: Day shift Monday to Friday Supplemental Pay: Performance bonus Yearly bonus Ability to commute/relocate: Pune, Maharashtra: Reliably commute or planning to relocate before starting work (Preferred) Application Question(s): How soon you can join? Experience: Spark: 2 years (Required) Work Location: In person