Data Engineer
Summary
Mid-level Data Engineer (3–5 yrs) in Chandigarh building end-to-end batch and streaming ETL/ELT pipelines, data models, and warehouse structures on Google Cloud Platform (BigQuery, Dataflow, Pub/Sub, Cloud Run), plus Looker dashboards and pipeline/data-quality monitoring for analytics and data science.
🚀 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.
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