AWS Data Engineer

Job Description:

• We are looking for an experienced AWS Data Engineer with 3 5 years of experience in designing developing and maintaining scalable data pipelines and cloud based data solutions
• The ideal candidate should have strong expertise in AWS data services ETL development and big data technologies

Key Responsibilities:

• Key Responsibilities
• Design develop and maintain scalable ETL ELT pipelines on AWS
• Build and optimize data ingestion and transformation workflows
• Develop and manage data lakes and data warehouse solutions
• Work with large scale structured and unstructured datasets
• Implement data quality governance and security best practices
• Optimize data processing performance and cost efficiency
• Collaborate with business analysts data scientists and application teams
• Monitor troubleshoot and resolve data pipeline issues
• Support data migration and modernization initiatives
• Create technical documentation and maintain data architectures
• Required Skills
• AWS Glue
• AWS EMR
• Amazon Redshift
• Amazon S3
• AWS Athena
• AWS Lambda
• SQL
• Python
• PySpark Apache Spark
• ETL Development
• Data Warehousing
• Data Lake Architecture
• Good to Have Skills
• AWS Kinesis
• Apache Airflow
• Kafka
• Snowflake
• Databricks
• Terraform
• CI CD Pipelines
• Hadoop Ecosystem
• Qualifications
• Bachelor s degree in Computer Science Information Technology or related field
• 3 5 years of relevant Data Engineering experience
• Experience working in cloud based data platforms and analytics environments
• Strong problem solving and communication skills

Technical Requirements:

• Technology AWS Glue EMR Redshift Athena S3 Lambda Python SQL PySpark Spark ETL Data Pipeline Data Lake Data Warehouse Kinesis Airflow Databricks AWS Data Engineer

Preferred Skills:

Technology->Cloud Platform->Amazon Webservices DevOps,Technology->Data Engineering->Databricks,Technology->Cloud Platform->AWS Data Analytics->AWS Glue DataBrew,Technology->Cloud Platform->Microservices->AWS Lambda