Develop, maintain, and optimize data pipelines using Python for data analytics.
Design and implement scalable data solutions using Google Cloud Platform (GCP).
Utilize GCP services such as DataProc, Database Migration Service (DMS), Dataform, Data Fusion, and Dataflow.
Analyze large datasets to generate actionable insights and support data-driven decision-making.
Collaborate with cross-functional teams to integrate data analytics solutions into business processes.
Ensure data quality, integrity, security, and governance throughout the data lifecycle.
Stay updated with the latest advancements in Python and GCP Data Analytics technologies.

Roles & Responsibilities

Lead the design and implementation of data analytics solutions using Python and GCP.
Architect, develop, and manage end-to-end data workflows using DataProc, DMS, Dataform, Data Fusion, and Dataflow.
Build and optimize scalable ETL/ELT data pipelines.
Troubleshoot and resolve performance bottlenecks in data processing pipelines.
Collaborate with business stakeholders to gather requirements and deliver technical solutions.
Mentor junior team members on Python programming and GCP data services.
Drive continuous improvements to enhance data processing efficiency, scalability, and reliability.

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GCP Data Engineer- Python

Job Description

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