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Easyship logo

Data Engineer

EasyshipShipping Software company
Bangalore, IndiaMid
500 Global logo
500 Global
7BC Venture Capital
Rubicon Venture Capital
One Way Ventures
Kima Ventures logo
Kima Ventures
Picus Capital logo
Picus Capital
Data & AINew

About the role

TL;DR

Data Engineer to build and maintain data pipelines and warehouses on GCP.

  • Easyship is seeking a Data Engineer to build and maintain robust data pipelines, data warehouses, and data services within their Google Cloud Platform (GCP) environment.
  • This role involves leveraging AI and modern data stack tools to drive automation and business impact.
  • Key Responsibilities Design, build, and maintain scalable data pipelines using Cloud Composer (Airflow), Pub/Sub, and Cloud Functions.
  • Optimize and manage data warehouse in BigQuery, ensuring data integrity and performance.
  • Implement complex data transformations and modeling using Dataform (DBT).
  • Contribute to the development of infrastructure for rapidly building data services and APIs.
  • Build and support the development of an AI-driven insights layer on top of the data platform.
  • Requirements 3+ years of experience as a Data Engineer or in a similar role.
  • Strong proficiency in SQL.
  • Extensive experience with Google Cloud Platform (GCP), specifically BigQuery, Cloud Composer (Airflow), Dataform (DBT), Pub/Sub, and Cloud Functions.
  • Hands-on experience with data pipeline development and ETL processes.
  • Experience building data services/API infrastructure.
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Required skills

SQLGoogle CloudBigQueryAirflowdbtREST API

Nice-to-have skills

Vertex AIKubeflowMLflow

Domain expertise

ecommercelogistics

Benefits & perks

Generous remuneration and stock units, Comprehensive health coverage, Reimbursed gym and wellness expenses, Digital meal credits, Pantry full of wholesome snacks, Work from Anywhere for 4 weeks, Generous vacation policy, Duvet days, Mental health days

Tech stack

PythonSQLGoogle CloudBigQueryAirflowdbtREST APIVertex AIKubeflowMLflow

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