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Senior Data Engineer

3 hours, 9 minutes ago
Philippines
Full-time
Senior
Data Engineer
Software Development
Apache Airflow AWS Azure CI/CD dbt GCP Git Kafka Looker Machine Learning Power BI Python Snowflake SQL Terraform
Apply Now
teamified.com

teamified.com

teamified.com specializes in enhancing the rental experience for property owners by showcasing their businesses and maximizing brand loyalty, ultimately helping them increase rental revenue while reducing stress.

Hotels, Restaurants & Leisure
Founded 2020
View All Jobs 16

Description

  • Design, build, and maintain scalable and secure cloud-native data platforms and data pipelines.
  • Lead the architecture, optimization, and operational management of the Snowflake data warehouse platform.
  • Develop robust ELT/ETL pipelines to ingest, transform, and deliver data from internal and external sources.
  • Build reusable data frameworks, transformation models, and orchestration workflows.
  • Develop and maintain infrastructure-as-code and automation for data platform provisioning and management.
  • Optimize performance, scalability, and cost efficiency across storage, transformation, and query workloads.
  • Support near real-time and batch data processing requirements.
  • Implement data quality controls, validation frameworks, reconciliation processes, and monitoring capabilities.
  • Partner with stakeholders across Product, Engineering, Operations, Finance, and Business teams to deliver data solutions.
  • Mentor and support junior engineers and analysts and contribute to engineering standards and platform strategy.

Requirements

  • 5+ years of experience in Data Engineering, Analytics Engineering, or related data platform roles.
  • Strong hands-on expertise with Snowflake in enterprise-scale environments.
  • Advanced SQL skills with experience optimizing complex analytical queries and data transformations.
  • Strong experience building and maintaining modern ELT/ETL pipelines and orchestration workflows.
  • Strong understanding of modern data warehousing concepts, dimensional modelling, and scalable data architecture.
  • Experience working with cloud platforms such as AWS, Azure, or GCP.
  • Experience with data transformation and orchestration tools such as dbt, Airflow, Fivetran, Matillion, or equivalent platforms.
  • Strong understanding of data governance, security, and access management principles.
  • Excellent communication and stakeholder engagement skills.
  • Experience within fintech, payments, SaaS, or highly regulated industries is desirable.
  • Experience with real-time data streaming technologies such as Kafka or Kinesis is desirable.
  • Exposure to machine learning data pipelines and advanced analytics workloads is desirable.
  • Experience implementing CI/CD practices for data engineering workflows is desirable.
  • Familiarity with Infrastructure-as-Code tools such as Terraform is desirable.

Benefits

  • Flexibility in work hours and location, with a focus on managing energy rather than time.
  • Access to online learning platforms and a budget for professional development.
  • A collaborative, no-silos environment that encourages learning and growth across teams.
  • A dynamic social culture with team lunches, social events, and opportunities for creative input.
  • Health insurance.
  • Leave benefits.
  • 13th month salary.

Interested in this position?

Apply directly on the company website

Apply Now

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