IGO TECHONOLOGIES
Data Engineer
A Data Engineer in Taguig develops, maintains, and monitors cloud-based data pipelines and data infrastructure on AWS, using SQL and Python day to day with services like S3, Redshift, Glue, IAM, CloudWatch, and DataSync.
- Compensation
- Not disclosed
- Location
- Taguig, Philippines
- Work setup
- Not specified
- Seniority
- Not specified
- Employment
- Not specified
- Experience
- Not specified
- Category
- Data engineering
- Posted
Skills
Must have
- Hands-on knowledge of SQL
- Hands-on programming experience with Python
- Experience or practical knowledge of AWS S3
- Experience or practical knowledge of AWS Redshift
- Understanding of AWS IAM, including roles, users, and IAM policies
- Experience or knowledge of AWS Glue
- Familiarity with AWS CloudWatch
- Experience or knowledge of AWS DataSync / data synchronization
- Good understanding of data engineering and ETL concepts
- Strong analytical and problem-solving skills
Full description
About the role
We are looking for a Data Engineer with hands-on knowledge of SQL, Python, and AWS data services. The role will support the development, maintenance, and monitoring of cloud-based data pipelines and data infrastructure. The ideal candidate has a good foundation in data engineering concepts and practical experience working with AWS services such as S3, Redshift, IAM, Glue, and CloudWatch.
Key responsibilities
- Develop and maintain data processing and data integration solutions using SQL and Python.
- Support the development and maintenance of data pipelines within AWS environments.
- Work with AWS S3 for data storage and management.
- Support data warehousing activities using AWS Redshift.
- Work with AWS Glue for data integration, transformation, and ETL processes.
- Manage and support AWS IAM, including roles, users, and policies.
- Monitor data pipelines and AWS resources using AWS CloudWatch.
- Support data synchronization (DataSync) and data transfer activities.
- Troubleshoot data pipeline, integration, and processing issues.
- Perform data validation and ensure data accuracy and consistency.
About you
- Hands-on knowledge of SQL.
- Hands-on programming experience with Python.
- Experience or practical knowledge of AWS S3.
- Experience or practical knowledge of AWS Redshift.
- Understanding of AWS IAM, including roles, users, and IAM policies.
- Experience or knowledge of AWS Glue.
- Familiarity with AWS CloudWatch.
- Experience or knowledge of AWS DataSync / Data Synchronization.
- Good understanding of data engineering and ETL concepts.
- Strong analytical and problem-solving skills.