We are looking for an experienced Senior PySpark Developer with 8+ years of experience in Data Engineering and Big Data technologies. The ideal candidate should possess strong expertise in PySpark, Python, Spark SQL, ETL development, Data Warehousing, and Cloud platforms (AWS/Azure/GCP). The candidate will be responsible for designing, developing, and optimizing large-scale data processing solutions.
Key Responsibilities
Design and develop scalable data pipelines using PySpark and Apache Spark.
Build and optimize ETL/ELT frameworks for processing large volumes of structured and unstructured data.
Develop high-performance Spark applications using Spark SQL, DataFrames, and RDDs.
Work closely with data architects and business teams to define data requirements.
Implement data quality, validation, and governance processes.
Optimize Spark jobs for performance, memory management, and scalability.
Integrate data from various sources including databases, APIs, cloud storage, and streaming platforms.
Support production deployments and resolve performance bottlenecks.
Mentor junior developers and participate in code reviews.
Mandatory Skills
8+ years of IT experience.
Strong hands-on experience in PySpark and Python.
Expertise in Apache Spark, Spark SQL, DataFrames, and ETL Development.
Strong SQL and database concepts.
Experience with Hadoop Ecosystem (Hive, HDFS, YARN).
Experience in Data Warehousing and Data Modeling.
Hands-on experience with Unix/Linux.
Source: Infosys careers — Read the original posting and apply
This role is listed by the employer on its own careers site. Kaam Ki Khoj does not process applications for it.
Infosys is an employer in the IT/Computers - Software, Software Services sector with operations in India. This is a directory listing maintained by Kaam Ki Khoj so that candidates can find the organisation; it is not an official company page and Kaam... Read More
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