Data Engineer

SLI Consulting Inc.; Makati; On-site; PHP 670,000 - 1,116,000; Full time

Benefits offered by this job

Health Insurance

Government Mandated Benefits

Job summary

A consulting firm in the Philippines is seeking a qualified data engineer to design data storage solutions and support data transformation processes. Candidates must have experience in data projects, specifically with Azure and Databricks, as well as knowledge of SQL and Python. This on-site position, located in Makati, offers a challenging role requiring collaboration with cross-functional teams to enhance data governance and performance.

Qualifications

• Experience on Data projects is a MUST (at least 1 end to end project).
• Certifications in Azure are preferred.
• Knowledge in Data Warehouse and Data Mart concepts and query optimization techniques.
• Knowledge of Data Warehouse/Data Mart concepts and query optimization.

Responsibilities

• Designs and builds data storage solutions including database objects and data structures.
• Develops data transformation, cleansing, and preparation processes.
• Performs job optimization/automation via code enhancement.
• Maintains and monitors platform stability and performance of EDP.
• Ensures compliance with governance standards of the platform.
• Collaborates with cross-functional teams to identify data needs.
• Collaborates with cross-functional teams to identify data needs and improvement opportunities.
• Maintains documentation for data engineering processes and procedures.
• Conducts PoCs on new integration and analytics patterns.
• Contributes to best practices and standards for the data engineering team.

Skills

Data projects experience

Databricks

Azure

SQL

Python (Pyspark)

Data Warehouse concepts

Data Mart concepts

Education

Bachelor's degree

Job description

On-site - Makati 3-5 Yrs Exp Bachelor Contract

Job Description

Government Mandated Benefits

Insurance Health & Wellness

Health Insurance

Qualifications

• 1. Designs and builds data storage solutions including database objects and data structures, data ingestion pipelines
• 2. Develops data transformation, cleansing, and preparation processes.
• 3. Perform job optimization/automation via code enhancement, configuration, or implementation of new tools/technology
• 4. Perform unit testing and system integration testing.
• 5. Maintain and monitor platform stability and performance of EDP. Execute updates, patches, and other activities required to maintain and enhance operations.
• 6. Ensures compliance with governance standards of the platform, security policies, and SDLC processes.
• 7. Collaborate with cross-functional teams to identify data needs and opportunities for improvement
• 8. Develop and maintain documentation related to data engineering and analytics processes and procedures
• 9. Perform Proof of Concept on new integration and analytic patterns and solutions
• 10.Contribute to best practices and standards for the data engineering team

Must-have

• 1. Experience on Data projects is a MUST (at least 1 end to end project)
• 2. Experience in using Databricks and Azure (certifications preferred)
• 3. Experience in SQL, Python (Pyspark)
• 4. Knowledge in Data Warehouse and Data Mart concepts and query optimization techniques

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