Data Engineer
24 hours ago
Taguig, Metro Manila, Philippines
IT Managers, Inc.
Full-time
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WE ARE HIRING: DATA ENGINEER
Location:
BGC, Taguig Work Setup: Hybrid – 8x onsite per month Employment Type: Project-Based (For Extension & Absorption) JOB OVERVIEWWe are looking for an experienced Data Engineer with strong expertise in Python, Spark, PySpark, SQL, and AWS data services. The ideal candidate should have hands-on experience developing, maintaining, and optimizing data pipelines and AWS-based data processing solutions.
KEY RESPONSIBILITIES
• Develop, maintain, and optimize data pipelines using Python, PySpark/Spark.
• Write and optimize complex SQL queries for data processing and transformation.
• Manage and process large datasets using Apache Spark.
• Develop and maintain data integration and ETL/ELT workflows.
• Work with AWS S3 and Amazon Redshift for data storage and warehousing.
• Configure and manage AWS Glue jobs and data workflows.
• Manage AWS IAM roles, users, and policies.
• Monitor data pipelines and troubleshoot issues using AWS CloudWatch.
• Perform data synchronization using AWS DataSync.
• Ensure data quality, accuracy, and consistency across data pipelines.
• Collaborate with data architects, analysts, and other technical teams. REQUIRED SKILLS & QUALIFICATIONS Programming & Data Processing
• Python
• SQL
• Apache Spark
• PySpark AWS Services & Tools
• AWS S3
• Amazon Redshift
• AWS IAM (Roles, Users, and Policies)
• AWS Glue
• AWS CloudWatch
• AWS DataSync Additional Skills
• ETL/ELT Development
• Data Pipeline Development
• Data Integration
• Data Transformation
• Data Processing & Optimization
• Data Quality Management
Location:
BGC, Taguig Work Setup: Hybrid – 8x onsite per month Employment Type: Project-Based (For Extension & Absorption) JOB OVERVIEWWe are looking for an experienced Data Engineer with strong expertise in Python, Spark, PySpark, SQL, and AWS data services. The ideal candidate should have hands-on experience developing, maintaining, and optimizing data pipelines and AWS-based data processing solutions.
KEY RESPONSIBILITIES
• Develop, maintain, and optimize data pipelines using Python, PySpark/Spark.
• Write and optimize complex SQL queries for data processing and transformation.
• Manage and process large datasets using Apache Spark.
• Develop and maintain data integration and ETL/ELT workflows.
• Work with AWS S3 and Amazon Redshift for data storage and warehousing.
• Configure and manage AWS Glue jobs and data workflows.
• Manage AWS IAM roles, users, and policies.
• Monitor data pipelines and troubleshoot issues using AWS CloudWatch.
• Perform data synchronization using AWS DataSync.
• Ensure data quality, accuracy, and consistency across data pipelines.
• Collaborate with data architects, analysts, and other technical teams. REQUIRED SKILLS & QUALIFICATIONS Programming & Data Processing
• Python
• SQL
• Apache Spark
• PySpark AWS Services & Tools
• AWS S3
• Amazon Redshift
• AWS IAM (Roles, Users, and Policies)
• AWS Glue
• AWS CloudWatch
• AWS DataSync Additional Skills
• ETL/ELT Development
• Data Pipeline Development
• Data Integration
• Data Transformation
• Data Processing & Optimization
• Data Quality Management