Job Title: Data Engineer

Duration: 18 Months

About the Role

We are seeking a Data Engineer to build and maintain scalable data pipelines and cloud-native data solutions supporting Supply Chain analytics and AI initiatives across Sourcing, Transportation, and Warehouse Management (WMS). You'll work with cross-functional teams to develop reliable, high-quality data products on Google Cloud Platform (GCP).

Key Responsibilities

- Design, build, and maintain ETL/ELT pipelines on GCP.

- Develop data solutions using Dataproc, BigQuery, SQL, and dbt.

- Create scalable data models for analytics and AI.

- Ingest, transform, validate, and publish enterprise data.

- Optimize data performance, reliability, and cost.

- Perform testing, production support, and technical documentation.

- Collaborate with Product Managers, Architects, Analysts, and Engineering teams in an Agile environment.

Required Qualifications





- Bachelor's degree in Computer Science, Engineering, or related field (or equivalent experience).

- 4+ years of Data Engineering experience.

- Hands-on experience with Google Cloud Platform (GCP).

- Strong skills in Dataproc, BigQuery, SQL, and dbt.

- Experience building scalable ETL/ELT pipelines and data models.

- Knowledge of Git, CI/CD, and software engineering best practices.

- Robust analytical, problem-solving, and communication skills.

Preferred Qualifications

- Experience with Apache Airflow, Kafka, PySpark, and Python.

- Knowledge of data governance and metadata management.

- Experience in Retail, Supply Chain, Transportation, Logistics, or Warehouse Management (WMS).

📌 Data Engineer (Hyderabad)
🏢 People Positive Solutions
📍 Hyderabad