Data Engineer

Summary

Designs and builds data pipelines, warehouses, and analytics systems using Python, Spark, and cloud platforms like Databricks or Snowflake.

JBW Managed Services and Consulting Corp.

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

-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.