Data Migration Analyst

Private Advertiser; Makati; On-site; PHP 500,000 - 1,200,000; Full time

Job summary

Private Advertiser is seeking a data engineering specialist to lead data migration, transformation, and analytics initiatives across cloud platforms.

You will apply SQL, Python, Databricks and PySpark to move ERP/CRM data, ensure governance and data quality, and support warehousing and reporting in a hybrid Agile environment. Strong problem solving and clear documentation are essential.

Qualifications

• Bachelor’s degree in Computer Science, Information Systems, Data Analytics, or related field
• Proven experience in data migration, data analysis, or data engineering roles
• Strong SQL skills and experience querying large datasets
• Hands on experience with ETL processes and data transformation techniques
• Familiarity with relational databases (e.g., SQL Server, Oracle, MySQL, PostgreSQL)
• Understanding of data governance, data quality, and reconciliation concepts
• Strong analytical, problem solving, and troubleshooting skills
• Excellent documentation and communication abilities
• Proficiency in Python for data analysis, ETL development, and data transformation
• Hands-on experience with Databricks for data engineering, data migration, and ETL processes.
• Proficiency in PySpark for large-scale data transformation, validation, and processing
• Experience with migration tools (e.g., Informatica, Talend, SSIS, Azure Data Factory)
• Exposure to cloud platforms (Azure, AWS, or Google Cloud)
• Experience migrating ERP/CRM systems (e.g., SAP, Oracle, Salesforce, Workday)
• Knowledge of data warehousing and reporting concepts
• Experience working in Agile or hybrid project environments
• Understanding of data privacy and regulatory requirements (e.g., GDPR)
• Knowledge of Databricks, PySpark, and Python in cloud-based data processing environments.

Skills

Strong SQL skills

Python for data analysis and ETL

Analytical, problem solving, andTroubl

Excellent documentation and comms

Data governance, data quality concepts

Agile/hybrid project experience

Education

Bachelor’s degree in Computer Science, Information Systems, Data Analytics, or related field

Tools

Databricks

PySpark

Python

Informatica

Azure Data Factory

Job description

Bachelor’s degree in Computer Science, Information Systems, Data Analytics, or related field

Proven experience in data migration, data analysis, or data engineering roles

Strong SQL skills and experience querying large datasets

Hands on experience with ETL processes and data transformation techniques

Familiarity with relational databases (e.g., SQL Server, Oracle, MySQL, PostgreSQL)

Understanding of data governance, data quality, and reconciliation concepts

Strong analytical, problem solving, and troubleshooting skills

Excellent documentation and communication abilities

Proficiency in Python for data analysis, ETL development, and data transformation

Hands-on experience with Databricks for data engineering, data migration, and ETL processes.

Proficiency in PySpark for large-scale data transformation, validation, and processing

Experience with migration tools (e.g., Informatica, Talend, SSIS, Azure Data Factory)

Exposure to cloud platforms (Azure, AWS, or Google Cloud)

Experience migrating ERP/CRM systems (e.g., SAP, Oracle, Salesforce, Workday)

Knowledge of data warehousing and reporting concepts

Experience working in Agile or hybrid project environments

Understanding of data privacy and regulatory requirements (e.g., GDPR)

Knowledge of Databricks, PySpark, and Python in cloud-based data processing environments.