- 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
- Positive 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