Pyspark Engineer

Must Have Technical/Functional Skills

PySpark Developer with 5-10 years experience in data engineering practice. Responsible for designing, developing and maintaining scalable data pipelines, optimizing data workflows and ensuring the integrity and availability of data for business intelligence.

• Onsite role with strong experience in Apache Spark framework including good understanding of core concepts, performance optimization and industry best practices.
• Proficient in PySpark with hands‑on coding experience and ability to implement complex business level transformations.
• Collaborate with the stakeholders and analysts to understand data requirement and deliver robust, creative and innovative solutions.
• Familiarity with unit testing, object‑oriented programming (OOPS) concepts and interpreting test results.
• Proficient to write complex and efficient SQL queries to extract the business critical insights from large‑scale data.
• Experience with scheduling of the transformation jobs as per business requirement.
• Perform root‑cause analysis and troubleshoot errors on data pipelines, evaluating data quality issues, and implementing corrective fixes.

Salary Range: $90,000 to $120,000 per year