Industry Experience: Retail or CPG (Consumer Packaged Goods)
Location: Remote
Key Responsibilities
- Design, develop, and maintain scalable data pipelines and ETL/ELT processes.
- Build and optimize data ingestion, transformation, and processing workflows.
- Work with structured and unstructured data from multiple sources.
- Perform data validation, cleansing, transformation, and quality checks.
- Develop and maintain data models and data warehouse solutions.
- Optimize data pipelines and queries for performance and scalability.
- Collaborate with Data Scientists, Analysts, Architects, and business stakeholders.
- Troubleshoot data pipeline issues and ensure reliable data delivery.
- Implement best practices for data security, governance, and data quality.
- Contribute to the design and implementation of cloud-based data solutions.
Required Skills
- 6+ years of experience in Data Engineer
- Strong hands-on experience with ETL/ELT and data pipeline development.
- Strong SQL skills and experience working with large datasets.
- Experience with Python or another programming language used for data engineering.
- Experience with cloud-based data platforms such as AWS, Azure, or GCP.
- Experience with data warehouses/lakehouses and contemporary data engineering architectures.
- Strong understanding of data modeling, data integration, and data quality.
- Mandatory: Experience working in the Retail or CPG domain.
- Good communication and collaboration skills.
📌 Data Engineer – Retail / CPG (India)
🏢 Digitrix Software
📍 India
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