Design, develop, and maintain data pipelines using AWS services such as S3, Glue Studio, Redshift, Athena, and EMR.
Write efficient SQL queries for data processing, transformation, and analysis.
Develop and optimize Python scripts to automate data workflows.
Manage batch job scheduling and monitor dependencies to ensure reliable data delivery.
Collaborate with data analysts, data scientists, and business teams to enable data-driven decision-making.
Troubleshoot and resolve issues related to data quality, performance, and scalability.
Required Qualifications :
4-8 years of experience as a Data Engineer or in a similar role.
Hands-on experience with AWS data services : S3, Glue Studio, Redshift, Athena, and EMR.
Strong proficiency in SQL and Python for large-scale data processing.
Experience with batch job scheduling and managing complex data dependencies.
Solid understanding of data modeling, ETL processes, and performance optimization.
Excellent problem-solving skills and ability to work in a fast-paced environment.
(ref : hirist.tech)
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Aws Data Engineer • Bangalore
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