<p>Must Have Technical/Functional Skills</p> <p>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</p> <p>Roles & Responsibilities</p> <ul> <li>Onsite role with strong experience in Apache Spark framework including good understanding of core concepts, performance optimization and industry best practices. </li><li>Proficient in PySpark with hands-on coding experience and ability to implement complex business level transformations. </li><li>Collaborate with the stakeholders and analysts to understand data requirement and deliver robust, creative and innovative solutions. </li><li>Familiarity with unit testing, object-oriented programming (OOPS) concepts and interpreting test results. </li><li>Proficient to write complex and efficient SQL queries to extract the business critical insights from large-scale data. </li><li>Experience with scheduling of the transformation jobs as per business requirement. </li><li>Perform root-cause analysis and troubleshoot errors on data pipelines, evaluating data quality issues, and implementing corrective fixes </li></ul> <p>Salary Range: $120,000 to $160,000 per year</p>