Data Engineer - Python/PySpark - Retail Domain (5-7 yrs)

Position : Data Engineer.

Location : 100% Remote in India.

Shift : Must be able to overlap with US team working 8 : 00am-5 : 00pm EST (Eastern Standard Time).

Required Skills & Qualifications : .

- 5-7+ years of experience as a Data Engineer.

- Proficient in Apache Airflow and Google Cloud Platform (GCP).

- Experience creating DAGs and workflows, monitoring workflows.

- Strong proficiency in Python and SQL.

- Experience with data visualization tools such as Tableau or Looker.

- Familiarity with APIs and streaming data.

- Excellent problem-solving skills and attention to detail.

- Strong communication and collaboration skills.

Preferred Qualifications :

- PySpark skills.

- Experience working in retail domain.

Description : An employer is seeking an experienced Data Engineer to join their team sitting 100% remote.

Responsibilities : .

- Ingest data from multiple sources, ensuring data quality and integrity.

- Build and maintain scalable data pipelines using Google Cloud Platform (GCP), Apache Airflow, Python.

- Monitor data pipelines and workflows, ensuring timely and accurate data processing.

- Identify and troubleshoot data anomalies, issues with files.

- Develop and trigger alerts for data anomalies and pipeline failures.

- Work with APIs and streaming data to integrate various data sources.

- Create data visualizations using Tableau or Looker to support business insights.