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Python Data Engineer + Pandas + AWS

Python Data Engineer + Pandas + AWS

Globallogic

5 - 10 years

20 - 25 Lacs

noida pune bengaluru

Posted:None| Platform:

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Skills Required

python cloud services data manipulation glue amazon redshift data warehousing data pipeline data engineering sql pandas cloud analytics s lambda expressions data modeling aws cloud data ingestion debugging data warehousing concepts athena aws etl data integration reporting

Work Mode

Work from Office

Job Type

Full Time

Job Description

Description:

Job Description:

We are looking for an experienced Python Data Engineer with a strong background in Python, Pandas, AWS, and SQL to join our data engineering team. The ideal candidate should be passionate about building robust data pipelines, optimizing data workflows, and working on scalable cloud-based data solutions.

Requirements:

Required Skills:

5.5 to 8 years of hands-on experience in Python programming with strong expertise in Pandas for data manipulation.
Solid understanding and experience with AWS cloud services (such as S3, Lambda, Glue, Redshift, Athena, etc.).
Proficient in SQL with experience in querying and optimizing large datasets.
Good understanding of data warehousing concepts, data modeling, and data integration.
Strong debugging and problem-solving skills.

Job Responsibilities:

Key Responsibilities:

Design, develop, and maintain scalable ETL pipelines using Python and Pandas.
Work with large datasets to cleanse, transform, and prepare them for analytics and reporting.
Leverage AWS cloud services (e.g., S3, Lambda, Glue, Redshift, Athena) for data ingestion, storage, and processing.
Write efficient SQL queries to extract, manipulate, and analyze data from various relational and non-relational data sources.
Collaborate with data scientists, analysts, and other engineers to understand data needs and deliver reliable solutions.
Monitor data pipeline performance and troubleshoot issues to ensure data accuracy and integrity.

What We Offer:

Exciting Projects:

Collaborative Environment:

Work-Life Balance:

Professional Development:

Excellent Benefits:

Fun Perks:

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