Data Engineer

We’re Hiring: Data Engineer | Mid-Level We’re looking for a

Data Engineer with 3–5 years of experience

to join our team and help build an end-to-end data pipeline and storage solution. This is a great opportunity for someone who enjoys working hands-on with data — building scalable pipelines, transforming unstructured data into analytics-ready datasets, and creating the data foundations that support both

business analytics and data science . What you’ll be working on: • Design, build and maintain batch and streaming

ETL/ELT pipelines • Process and structure unstructured data for analytics and data science • Design and maintain data models and data warehouse structures • Build and maintain

Looker dashboards • Monitor pipeline health, data quality, and

BigQuery cost & performance • Work closely with stakeholders to translate reporting requirements into meaningful datasets and dashboards What we’re looking for: • 3–5 years of relevant Data Engineering experience • Strong

Data Modelling, ETL, Data Streaming & Data Warehousing

skills • Strong hands-on experience with

Python and SQL/Postgres • Experience working with

Google Cloud Platform (GCP) , particularly: – Dataflow – BigQuery – Cloud Storage – Cloud Run – Pub/Sub – Looker • Experience with

Apache Hadoop or Spark

would be an added advantage If you enjoy solving complex data problems and want to work on building a strong, scalable data foundation from the ground up, we’d love to hear from you. Interested? Apply through LinkedIn or reach out to us to learn more. #Hiring #DataEngineer #DataEngineering #GCP #BigQuery #Python #ETL #DataAnalytics #Looker #GoogleCloud #TechJobs