We are seeking an experienced AWS Data Engineer to design, build, and maintain data systems using Amazon Web Services (AWS), ensuring efficient data ingestion, transformation, and storage solutions.

Key Responsibilities

• Design and develop data models, data pipelines, and storage solutions using AWS services.
• Build ETL (Extract, Transform, Load) pipelines and workflows to ingest and transform data.
• Create documentation for data pipelines, processes, and best practices.
• Manage data lifecycle, ensure data quality, and apply programming concepts to optimize data processes.
• Work with AWS Glue, AWS Lambda, Amazon Kinesis, Amazon EMR, Amazon Athena, Amazon DynamoDB, Amazon CloudWatch, Amazon SNS, and AWS Step Functions.
• Proficient in SQL, Python, PySpark, and data warehousing.

Required Skills & Experience

• Expertise in AWS Data Services, including Redshift, RDS, and AWS S3.
• Strong programming skills in Python, Spark, and Scala.
• In-depth knowledge of Big Data technologies, including Hadoop, AWS Glue, and data lakes.
• Experience in building and maintaining data pipelines and ensuring efficient processing of structured and unstructured data.

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