Posted:1 month ago|
Platform:
Work from Office
Full Time
Key Responsibilities - Python & PySpark: - Writing efficient ETL (Extract, Transform, Load) pipelines. - Implementing data transformations using PySpark DataFrames and RDDs. - Optimizing Spark jobs for performance and scalability. - Apache Spark: - Managing distributed data processing. - Implementing batch and streaming data processing. - Tuning Spark configurations for efficient resource utilization. - Unix Shell Scripting: - Automating data workflows and job scheduling. - Writing shell scripts for file management and log processing. - Managing cron jobs for scheduled tasks. - Google Cloud Platform (GCP) & BigQuery: - Designing data warehouse solutions using BigQuery. - Writing optimized SQL queries for analytics. - Integrating Spark with BigQuery for large-scale data processing
Allegis Group
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