Data Engineer

JBW Managed Services and Consulting Corp.; Quezon City; Hybrid; PHP 669,600 - 892,800; Full time

Job summary

A leading consulting firm in Quezon City is seeking a skilled software developer with expertise in data warehousing and analytics. The ideal candidate will have over 6 years' experience and proficiency in tools like Python and Spark. The role involves cloud data services and data pipeline orchestration, offering a hybrid work model.

Qualifications

• 6+ years of experience in software development.
• Proven expertise in Data Warehousing and Data Analytics projects.
• Understanding of Data Governance and Data Management concepts.

Responsibilities

• Expertise in data modelling with methodologies like Data Vault 2.0.
• Experience with cloud data services such as Microsoft Intelligent Data Platform.
• Hands-on experience with cloud data platforms like Databricks.
• Skilled in data pipeline orchestration tools including Azure Data Factory.
• Experience with CI/CD and MLOps pipelines.
• Proficient in Infrastructure as Code (IaC).

Skills

Data Warehousing expertise

Data Analytics proficiency

Python

Spark

DBT

Data modelling

Cloud data services

Data pipeline orchestration

CI/CD and MLOps

Infrastructure as Code (IaC)

Education

Bachelor's degree

Tools

Azure Data Factory

AWS Glue

Apache Airflow

Databricks

Snowflake

Job description

JBW Managed Services and Consulting Corp.

Hybrid - Quezon City 5-10 Yrs Exp Bachelor Full-time

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Job Description

-6+ years of experience in the software development area;

-Proven expertise in Data Warehousing and Data Analytics projects, encompassing data acquisition, transformation, and data science initiatives

-Exposure with modern data file formats such as Delta Tables, Apache Iceberg, and Parquet

-Proficiency in Python, Spark, DBT, and other data transformation tools and frameworks

Job Responsibilities:

• Expertise in data modelling, with familiarity in conceptual, logical, and physical data models, following methodologies like Data Vault 2.0 and Dimensional Modelling
• Experience with cloud data services such as Microsoft Intelligent Data Platform, AWS Data Services, or Google Cloud Data Analytics
• Hands-on experience with cloud data platforms like Databricks and/or Snowflake; certifications
• Skilled in data pipeline orchestration tools, including Azure Data Factory, AWS Glue, Apache Airflow, or Prefect
• Experience with CI/CD and MLOps pipelines to streamline development and deployment processes
• Proficient in Infrastructure as Code (IaC) for efficient infrastructure management
• Expertise in data migration, performance tuning, and optimisation of databases and SQL queries queries
• Understanding of Data Governance and Data Management concepts
• Understanding of design patterns, clean architecture, and clean coding principles
• Familiarity with unit, regression and E2E testing.