Python SQL Bigquery @ Cognizant

Job Description

Role: Python SQL Bigquery

5+ years of experience in Python is must

Notice Period - Immediate to 30 Days

7+ overall years of experience is required

Job Summary

We are seeking a highly skilled Senior Data Engineer with extensive experience in Python, SQL, and Google BigQuery. The ideal candidate will play a critical role in designing, building, and maintaining scalable data solutions that drive business insights. This role requires strong problem-solving abilities, a keen eye for detail, and a passion for working with large datasets.

Key Responsibilities:

Develop, optimize, and maintain data pipelines using Python, SQL, and BigQuery.

Design and implement efficient data warehouse solutions to support analytics and business intelligence needs.

Ensure data quality, integrity, and security across all projects.

Collaborate with data scientists, analysts, and business teams to understand data requirements.

Write complex SQL queries and procedures for performance optimization.

Automate data workflows and processes to improve efficiency.

Monitor and troubleshoot data pipelines to ensure seamless data processing.

Stay updated with industry trends and best practices in data engineering and analytics.

Required Skills & Qualifications:

Bachelor's or Master's degree in Computer Science, Engineering, or related field.

5+ years of experience working with Python, SQL, and BigQuery.

Strong experience in data modeling, ETL development, and data warehousing concepts.

Expertise in writing optimized SQL queries for large-scale datasets.

Hands-on experience with cloud-based data platforms, preferably Google Cloud.

Excellent problem-solving skills and ability to work independently.

Strong communication and collaboration abilities.

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Keyskills:   GCP Bigquery SQL Python Pandas SQL Queries SQL Coding ETL Numpy