Manager & Deputy Manager Pyspark Developer

Job Description: We are looking for a skilled PySpark Developer having 4-5 or 2-3 years of experience to join our team. As a PySpark Developer, you will be responsible for developing and maintaining data processing pipelines using PySpark, Apache Spark's Python API. You will work closely with data engineers, data scientists, and other stakeholders to design and implement scalable and efficient data processing solutions. Bachelor's or Master's degree in Computer Science, Data Science, or a related field is required. The ideal candidate should have strong expertise in the Big Data ecosystem including Spark, Hive, Sqoop, HDFS, Map Reduce, Oozie, Yarn, HBase, Nifi. The candidate should be below 35 years of age and have experience in designing, developing, and maintaining PySpark data processing pipelines to process large volumes of structured and unstructured data. Additionally, the candidate should collaborate with data engineers and data scientists to understand data requirements and design efficient data models and transformations. Optimizing and tuning PySpark jobs for performance, scalability, and reliability is a key responsibility. Implementing data quality checks, error handling, and monitoring mechanisms to ensure data accuracy and pipeline robustness is crucial. The candidate should also develop and maintain documentation for PySpark code, data pipelines, and data workflows. Experience in developing production-ready Spark applications using Spark RDD APIs, Data frames, Datasets, Spark SQL, and Spark Streaming is required. Strong experience of HIVE Bucketing and Partitioning, as well as writing complex hive queries using analytical functions, is essential. Knowledge in writing custom UDFs in Hive to support custom business requirements is a plus. If you meet the above qualifications and are interested in this position, please email your resume, mentioning the position applied for in the subject column at: careers@cdslindia.com.,