GCP Data Engineer – Big Query

Company Description

Techsavvy AI Technologies builds AI, ML, and data analytics solutions that help businesses grow in a fast-changing digital landscape. We specialize in designing reliable, scalable data platforms and turning complex data into measurable outcomes. Our work spans cloud-native architectures, data pipelines, and production-grade systems that align closely with client goals. We value engineering discipline, ownership, and innovation that ships.

We’re looking for a

BigQuery-focused Data Engineer

to build and own

large-scale data export pipelines

on Google Cloud.

What you’ll work on:

Designing and optimizing

BigQuery exports

at scale Handling

schema drift, incremental loads, and data consistency Building cost-efficient tables using

partitioning and clustering Creating reliable ETL workflows with

Airflow / Dataflow Improving observability, retries, and failure handling in pipelines Working across multi-project GCP environments

What we’re looking for:

Strong hands-on experience with

BigQuery Solid background in

data pipeline engineering on GCP Experience with

Python-based ETL Understanding of

data modeling, cost optimization, and reliability Comfort working on production systems at scale

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