Principal Engineer - Python/Spark

Job Description : Requirements : - Strong experience (12 years) in Scala programming language and extensive experience with Apache Spark for Big Data processing for design, developing and maintaining scalable on-prem and cloud environments, especially on AWS EMR. - Proficiency in performance tuning of Spark jobs, optimizing resource usage, shuffling, partitioning, and caching for maximum efficiency in Big Data environments. - In-depth understanding of the Hadoop ecosystem, including HDFS, YARN, and MapReduce. - Expertise in designing and implementing scalable, fault-tolerant data pipelines with end-to-end monitoring and alerting. - Using Python to develop infrastructure modules. Hence, hands-on experience with Python. - Solid grasp of database systems and SQLs for writing efficient SQLs (RDBMS/Warehouse) to handle TBS of data. - Familiarity with design patterns and best practices for efficient data modeling, partitioning strategies, and sharding for distributed systems and experience in building, scheduling, and maintaining DAG workflows. - End-to-end ownership with definition, development, and documentation of software's objectives, business requirements, deliverables, and specifications in collaboration with stakeholders. - Experience in working on GIT (or equivalent source control) and solid understanding of Unit and integration test frameworks. - Must have the ability to collaborate with stakeholders/teams to understand requirements and develop a working solution and the ability to work within tight deadlines and effectively prioritize and execute tasks in a high-pressure environment. - Must be able to mentor junior staff. (ref:hirist.tech)

Location: bangalore, IN

Posted Date: 5/1/2025