BigData ,Python and Py Spark , GCP

Role: BigData ,Python and Py Spark , GCP

Location: Phoenix, Arizona, United States

If you think you are the right match for the following opportunity, apply after reading the complete description.

Roles and Responsibilities:

Develop and maintain data pipelines using BigData processes

Focus on ingesting, storing, processing, and analyzing large datasets

Required skills and qualifications:

Design, develop, and maintain scalable ETL/ELT pipelines using PySpark, Airflow, and GCP-native tools.

Build and optimize data warehouses and analytics solutions in BigQuery.

Implement and manage workflow orchestration with Airflow/Cloud Composer.

Write complex SQL queries for data transformations, analytics, and performance optimization.

Ensure data reliability, security, and governance across pipelines.

Conduct performance tuning and cost optimization of BigQuery and PySpark workloads.

Collaborate with analysts and product teams to deliver reliable data solutions.

Troubleshoot, debug, and resolve production issues in large-scale data pipelines.

Contribute to best practices, reusable frameworks, and automation for data engineering. xywuqvp

5+ years of experience within Data Engineering/ Data Warehousing using Big Data technologies will be a addon

Expert on Distributed ecosystem

Hands-on experience with programming using Python

Expert on Hadoop and Spark Architecture and its working principle

Hands-on experience on writing and understanding complex SQL(Hive/PySpark-dataframes),

optimizing joins while processing huge amount of data

Experience in UNIX shell scripting Ability to design and develop optimized Data pipelines for batch and real time data processing

Should have experience in analysis, design, development, testing, and implementation of system applications

Demonstrated ability to develop and document technical and functional specifications and analyze software and system processing flows.