Data Engineer - Contractual

Lewis Personnel Management

Taguig

On-site

PHP 1,004,000 - 1,674,000

Part time

14 days+

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Job summary

Lewis Personnel Management is seeking a Data Engineer to design, build, and maintain data infrastructure and pipelines. You will transform raw data into actionable insights, manage data assets, and enable access for analytics and operations.

Collaboration with cross-functional teams will optimize workflows and deliver automation, visualization, and reporting. The position is a 3–6 month contract with a hybrid setup: 3 days onsite at BGC Taguig and 2 days work-from-home.

Qualifications

  • 3+ years of experience in Data Engineering or related roles.
  • Strong experience with Python, Java, SQL & NoSQL.
  • Hands-on ETL development and data pipeline management.
  • Knowledge of Spark, Snowflake, Redshift, MongoDB, or Hive.
  • Experience with AWS, Azure, or GCP (AWS preferred).
  • Familiarity with BI tools such as Power BI, Tableau, or QuickSight.
  • Bachelor's Degree in IT, Computer Science, Engineering, or related field.
  • Nice to have: Apache NiFi.

Responsibilities

  • Design, build, and maintain robust data infrastructure and pipelines.
  • Transform raw data into actionable insights through scalable, secure pipelines.
  • Manage data assets and enable seamless access for analytics and operations.
  • Collaborate with cross-functional teams to address data requirements and optimize workflows.
  • Deliver automation, visualization, and reporting solutions.

Skills

Data engineering
Python
Java
SQL
NoSQL
ETL development
Data pipelines
Cross-functional teamwork

Education

Bachelor's degree

Tools

Spark
Snowflake
Redshift
MongoDB
Hive
AWS
Azure
GCP
Power BI
Tableau
QuickSight
Apache NiFi

Job description

Job Overview:

The Data Engineer will be responsible for designing, building, and maintaining robust data infrastructure and pipelines that support current and future business needs. This includes transforming raw data into actionable insights through scalable and secure pipelines, managing data assets effectively, and enabling seamless access to data for analytical and operational processes. The Data Engineer will collaborate with cross-functional teams to address data requirements, optimize workflows, and deliver impactful solutions through automation, visualization, and reporting.

Key Qualifications:
  • At least 3 years of experience in Data Engineering or related roles
  • Strong experience with Python, Java, SQL & NoSQL
  • Hands‑on experience in ETL development and data pipeline management
  • Knowledge of Spark, Snowflake, Redshift, MongoDB, or Hive
  • Experience with AWS, Azure, or GCP (AWS preferred)
  • Familiarity with BI tools such as Power BI, Tableau, or QuickSight
  • Bachelor's Degree in IT, Computer Science, Engineering, or related field.
  • Nice to have: Apache NiFi
  1. Location: BGC, Taguig
  2. Employment Type: Contract (3–6 months)
  3. Hybrid Setup: 3 days onsite, 2 days' work from home

LGC-MCV

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