Data Engineer (Data Bricks)

Hiring!!!

We are looking for Data Engineer (Data Bricks) Remote

Location: Remote/Work from Home

Employment Type: Full-time/Independent contractor

Duration: Long term

Shift: US Day shift

Industry-Oil & Gas Company

Equipment: Company Provided

Summary:

We are looking for a Mid-Senior Level Data Engineer to support the delivery of modern cloud-based data solutions within the Oil & Gas industry. This role focuses on building scalable data pipelines, implementing lakehouse architectures, and supporting enterprise data modernization initiatives using Databricks and cloud technologies.

The position offers exposure to client-facing collaboration, where you will work alongside senior engineers and architects in workshops, technical discussions, and delivery engagements while contributing to production-grade solutions in a remote Philippines-based setup.

Responsibilities:

  • · Build and maintain scalable data ingestion and transformation pipelines using Databricks, PySpark, and SQL
· Develop and optimize batch and streaming workflows using Delta Lake, Auto Loader, and Delta Live Tables (DLT) · Implement Bronze, Silver, and Gold medallion architecture patterns for structured and semi-structured datasets

· Integrate data from operational systems, cloud platforms, APIs, IoT feeds, and enterprise applications

· Support data governance initiatives including metadata management, lineage tracking, schema controls, and access management

· Perform testing, validation, monitoring, and troubleshooting to ensure pipeline reliability and data quality

· Document technical designs, data models, and pipeline logic for internal and client delivery purposes

· Participate in code reviews and contribute to reusable engineering frameworks and best practices

· Assist with Databricks cluster configuration, workflow scheduling, and cloud resource optimization

Collaborate closely with senior engineers, architects, and cross-functional teams to deliver project milestones and resolve technical issues

Qualifications:

  • · At least 3–5 years of experience in Data Engineering or related roles
· At least 1–2 years of hands-on experience with Databricks · Strong proficiency in Python, PySpark, and SQL

· Experience building cloud-based data pipelines and transformation workflows

· Working knowledge of Databricks components such as Delta Lake, Auto Loader, Delta Live Tables, and Workflows

· Experience with at least one cloud platform:

o Azure (ADF, ADLS Gen2)

o AWS (S3, Glue)

o GCP (GCS, Dataflow)

· Understanding of batch, streaming, and micro-batch data processing concepts

· Familiarity with data quality practices, testing methodologies, and clean coding standards

Strong communication skills with the ability to collaborate in client-facing and delivery-focused environments

· Good documentation, analytical, and problem-solving skills

Preferred Qualifications

· Databricks certification is an advantage

· Exposure to Oil & Gas, Energy, Industrial, or IoT-related datasets

· Experience with CI/CD pipelines and DevOps practices for data engineering

· Familiarity with Unity Catalog, governance tooling, or metadata management platforms

· Basic understanding of cloud cost optimization and performance tuning

Experience working in agile or distributed delivery teams if you have experience send your CV's to jorgie.gaspar@zerodaygroup.com

Job Type: Full-time

Pay: Php50,000.00 - Php180,000.00 per month

Benefits

  • Work from home
Application Question(s):
  • Do you have Data bricks, how many years?
Work Location: Remote
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