Data lake Support Associate II (PySpark) - Hybrid

E-team Workforce Private Corporation; Taguig; On-site; PHP 800,000 - 1,200,000; Full time

Job summary

E-team Workforce Private Corporation in the Philippines is seeking a Data Engineer to monitor, maintain, and optimize enterprise data lake environments and data pipelines. You will troubleshoot ingestion, transformation, and processing issues while supporting ETL/ELT workflows and ensuring data integrity.

Collaborate with data engineers and cross-functional teams, analyze incidents, perform root cause analysis, and implement fixes to improve performance, reliability, and data governance across

Qualifications

• 3-5 years of experience
• Hands-on PySpark expertise
• Experience with SQL and relational databases
• Familiarity with ETL/ELT processes and data pipelines troubleshooting
• Knowledge of cloud-based data platforms (Azure, AWS, or GCP)
• Experience with distributed data processing frameworks such as Apache Spark
• Strong analytical, troubleshooting, and problem-solving skills
• Excellent communication skills with the ability to work effectively in a global team

Responsibilities

• Monitor, maintain, and support enterprise data lake environments and data pipelines
• Troubleshoot and resolve issues related to data ingestion, transformation, and processing
• Analyze production incidents and perform root cause analysis to prevent recurring issues
• Support ETL/ELT workflows and ensure data integrity, quality, and availability
• Collaborate with data engineers and cross-functional teams to implement fixes and enhancements
• Optimize data processing jobs for performance and reliability
• Monitor system health, logs, and batch processes to ensure smooth daily operations
• Document support procedures, issue resolutions, and technical knowledge
• Participate in incident management and provide timely resolution of production issues
• Ensure adherence to data governance, security, and operational best practices

Skills

PySpark

SQL

Python

Apache Spark

Data Lake technologies

ETL/ELT Support

Incident Management

Data Quality Monitoring

Cloud Data Platforms

Job description

About the role

Monitor, maintain, and support enterprise data lake environments and data pipelines. Troubleshoot and resolve issues related to data ingestion, transformation, and processing. Analyze production incidents and perform root cause analysis to prevent recurring issues.

Key responsibilities

• Monitor, maintain, and support enterprise data lake environments and data pipelines
• Troubleshoot and resolve issues related to data ingestion, transformation, and processing
• Analyze production incidents and perform root cause analysis to prevent recurring issues
• Support ETL/ELT workflows and ensure data integrity, quality, and availability
• Collaborate with data engineers and cross-functional teams to implement fixes and enhancements
• Optimize data processing jobs for performance and reliability
• Monitor system health, logs, and batch processes to ensure smooth daily operations
• Document support procedures, issue resolutions, and technical knowledge
• Participate in incident management and provide timely resolution of production issues
• Ensure adherence to data governance, security, and operational best practices

About you

• 3-5 years of experience
• Hands‑on expertise with PySpark (highly preferred)
• Experience working with SQL and relational databases
• Familiarity with ETL/ELT processes and data pipeline troubleshooting
• Knowledge of cloud‑based data platforms (Azure, AWS, or GCP)
• Experience with distributed data processing frameworks such as Apache Spark
• Strong analytical, troubleshooting, and problem‑solving skills
• Excellent communication skills with the ability to work effectively in a global team

Preferred Skills

• PySpark (Highly Preferred)
• Apache Spark
• SQL
• Python
• Data Lake technologies
• ETL/ELT Support
• Incident Management
• Data Quality Monitoring
• Cloud Data Platforms (Azure, AWS, or GCP)