Senior Data Engineers - Hybrid/Remote (Makati) - Up to 35K

Role: Senior Data Engineers

Salary: Up to 35k

Set-up: Hybrid/Remote (Makati)

Schedule: Dayshift (Mon-Fri) 



Job Description:

A Senior Data Engineer(CL2) is a more experienced data engineer who will help the company by enabling the business and its clients to design, building, and moving their data from operational and external environments to the business intelligence environment or any other designated target for analysis, consumption and utilization, driving real business impact, also helping businesses, both internal and external, ensure good data governance and data quality 

Duties and Responsibilities:

• Extract client data from different sources for processing, integration, and business rule applications 
• Develop state-of-the-art ETL jobs for transforming data depending on the clients current business need 
• Ensure data quality and data integrity throughout the ingestion process
• Develop data ingestion jobs for POCs leaning toward advanced business solutions
• Support the overall end to end enterprise level data projects, both internally and externally
• Assist associate data engineers and serve as a consultant in times of need 

Qualifications: 

• Requires a Bachelors Degree in Engineering, Computer Science, Information Technology or other related field 
• At least 4 years of experience working on enterprise-level solutions using enterprise ETL tools is required for this position 
• At least 3 years of experience working with ingestion projects is required for this position
• Knowledge in Python or any programming language is strongly preferred
• Knowledge in AWS, GCP, Big Data, Hadoop, Kafka, Spark or any other related technologies is strongly preferred
• Knowledge in SQL, PL/SQL, or any other relational and non-relational database strongly preferred
• Familiarity with data modeling is highly preferred
• Working knowledge in using Linux environment is a big plus
• Working knowledge in software development life cycle and agile/scrum methodology is preferred but not required
• Natural problem solver and critical thinker
• Detail oriented and highly adaptive
• Good communication skills
• Proactive
• Fast learner