AWS Data Engineer

Job Description
AWS Data Engineer
• Knowledge in core data-related AWS services, ability to ingest and transform data, orchestrate data pipelines while applying programming concepts, design data models, manage data life cycles, and ensure data quality.
• designs, builds, and maintains data systems using Amazon Web Services (AWS)
• Create data models, data pipelines, and data storage solutions
• Build ETL (Extract, Transform, Load) pipelines and workflows
• Create documentation for data pipelines, processes, and best practices
• SQL, Programming (Python), PySpark, and AWS Services
• Proficiency in AWS services, SQL, and data warehousing
• Experience with data modeling, warehousing, and building ETL pipelines
• Proficiency with AWS Tools: experience using AWS Glue, AWS Lambda, Amazon Kinesis, Amazon EMR , Amazon Athena, Amazon DynamoDB, Amazon CloudWatch, Amazon SNS and AWS Step Functions.
• Programming Skills: Strong experience with modern programming languages such as Python, Spark, and Scala.
• Expertise in Data Storage Technologies: In-depth knowledge of Data Warehouse, Database technologies, and Big Data Eco-system technologies such as AWS Redshift, AWS RDS, and Hadoop.
• Experience with AWS Data Lakes: Proven experience working with AWS data lakes on AWS S3 to store and process both structured and unstructured data sets.
Qualification:- BACHELOR OF COMPUTER SCIENCE