Senior Data Engineer @ Cognizant

Job Description

JOB Role: SR. Data Engineer

Skill set: Python, SQL, Big Query, ETL, data modeling, ETL development

Experience in Python, SQL, Big Query is must

Location: PAN India

Notice Period: Immediate to 30 Days

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 Big Query.

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 Big Query.

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:   Data Engineering Bigquery ETL Python SQL Etl Pipelines Data Pipeline SQL Queries Data Warehousing Data Modeling