Posted:9 hours ago|
Platform:
Hybrid
Full Time
We are looking for a skilled AWS Data Engineer with 3 to 5 years of experience in designing, building, and maintaining scalable data pipelines and analytics solutions on the AWS cloud platform. The ideal candidate should have strong hands-on experience in Python, SQL, AWS services, PySpark, and Pandas, with the ability to process large-scale data and support data-driven business initiatives.
-Design, develop, and maintain scalable data pipelines on AWS.
-Build and optimize ETL/ELT workflows using Python and PySpark.-
-Write complex and performance-optimized SQL queries for analytics and reporting.
-Work with large datasets using PySpark and Pandas.
-Implement data ingestion, transformation, and validation processes.
-Develop and manage data storage solutions using AWS services.
-Ensure data quality, reliability, and performance across pipelines.
-Collaborate with data analysts, data scientists, and business stakeholders.
-Monitor, troubleshoot, and optimize data workflows and jobs.
-Maintain technical documentation and data architecture diagrams.
-3 to 5 years of experience as a Data Engineer.
-Strong proficiency in Python for data engineering and automation.
-Advanced knowledge of SQL (joins, window functions, performance tuning).
-Hands-on experience with AWS services, including:
-S3, Glue, Athena, Redshift, EMR, Lambda, CloudWatch
-Experience with PySpark for distributed data processing.
-Strong experience with Pandas and NumPy.
-Understanding of data warehousing, data lakes, and ETL/ELT concepts.
-Experience with Linux/Unix environments and Git.
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