Senior Data Engineer

13th Month Bonus

Staff Insurance Provided

Key Responsibilities

Pipeline Development : Design, build, and maintain batch and streaming data pipelines using GCP services such as BigQuery, Dataflow, Dataproc, Composer, Dataform, and Cloud Functions.

Data Modeling & Optimization : Implement and optimize data models in BigQuery to support analytics, BI reporting, and machine learning workloads.

Data Integration : Connect and transform data from multiple sources, including APIs, databases, event streams, and flat files.

Platform Reliability : Monitor and troubleshoot data pipelines, ensuring high availability, scalability, and cost efficiency.

Governance & Quality : Implement data validation, quality checks, and security best practices to ensure trusted data.

Collaboration : Work closely with analysts, BI developers (Tableau, MicroStrategy), and business teams to enable reporting and self-service analytics.

Legacy Support (Light) : Provide occasional support for legacy systems (Oracle, MicroStrategy) where needed, focusing on data extraction and gradual modernization.

Key Requirements

Experience : 4 – 8 years of hands‑on experience in data engineering, ETL / ELT development, or related roles.

Technical Skills

• Strong SQL and Python skills for data transformation and automation.
• Hands‑on experience with GCP Data Stack (BigQuery, Dataflow, Composer, Dataproc, Dataform).
• Familiarity with orchestration workflows (Airflow / Composer) and CI / CD for data pipelines.

Data Modeling : Understanding of relational, dimensional, and modern data modeling concepts, with an eye for performance optimization.

Cloud Knowledge : Exposure to Azure Data Stack (Synapse, Data Factory, Databricks) is a plus.

Application Questions

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