📋 Employment Data Engineer - Hybrid Setup

[Alexander_Supertramp]

Sharing opportunities sa mga ka PHC:
Please PM me for inquiries and sending resumes.
Take Note: Hybrid work setup! at least 1 day/week RTO only.

DATA ENGINEER
Job Responsibilities

• Design and develop data pipelines that will ingest the data from the respective source systems into the data warehouse
• Support and optimize existing data pipelines to ensure that the downstream SLAs are met
• Responsible in attending agile ceremonies as part of the Agile Tribe set-up and delivering the different demands of the Tribe related to data ingestions to the data warehouse platform
• Ensures data quality within the data warehouse tables
• Ensures the data engineering standards and practices are followed like code version history, readability, functionality, extendibility, test runs, deployments, and post deployment support
• Supports L2 Data Operations team and act as L3 support
• Manage data storage, computing unit requirements, and data security within the data warehouse
• Gather data requirements coming from Tribe demands
• Supports other data engineers on other Tribes or domains if necessary
• Demonstrate technical excellence when it comes to the data warehouse platform
• Supports stakeholders of the data warehouse platform by solving data related issues and conducting data investigations
• Data Delivery Documentations – Data Dictionary, Data Mapping Documents, Data Models
• Optimize Data Pipelines
• Project delivery and operations support

Requirements:

• Years of Experience: 4-6 years of experience in IT project delivery or data development delivery particularly in Data Warehousing or Business Intelligence.
• Graduate of any IT related courses like BS Computer Science, Information Technology or the likes
• Strong SQL and ETL development experience, preferably related to Data Warehousing, Business Intelligence, or other Data Delivery projects.
• Proficiency in optimizing data pipelines in order to meet SLA requirements and save cost
• Experience in Big Data, Hadoop, EMR, Hive, and cloud environments is a plus
• Proficiency in Python, R, Java, Scala is a plus
• Proficiency in data modeling, data integrations, data quality, and data architecture is a plus
• AWS data integrations (Glue, Athena)
• Spark, Databricks
• Delta lake, Data Lake
• Kafka, Confluent, Real-time processing, Data Streaming

Benefits:

• SSS, Pag-ibig and Philhealth benefits + company contribution
• A monthly miscellaneous allowance
• 13th month pay based on your monthly rate.
• Vacation and Sick leave
• Wellness programs such as Wellness Wednesdays
• HMO coverage
• Team buildings and quarterly events (company outings and festive celebrations for Chinese New Year, Valentines, Halloween and Christmas)
• And, friendly intramural competitions