Job Description:
Key Responsibilities
- Design, develop, and maintain scalable ETL/ELT data pipelines.
- Work with structured and unstructured data from multiple sources.
- Develop data transformation and processing solutions using Python and SQL.
- Design and implement productive data models for analytics and reporting.
- Develop and maintain Power BI dashboards, reports, and visualizations.
- Perform data analysis and identify trends, patterns, and business insights.
- Work with cloud-based data platforms and data engineering services.
- Ensure data quality, accuracy, consistency, and reliability.
- Optimize SQL queries, data pipelines, and data processing workflows.
- Collaborate with data scientists, analysts, business teams, and technical stakeholders.
- Troubleshoot data pipeline and integration issues.
- Maintain technical documentation and follow data engineering best practices.
- Support production deployments and resolve data-related issues.
Required Skills
- Strong experience in Data Engineering / Advanced Analytics.
- Hands-on expertise in Python and SQL.
- Experience with ETL/ELT processes and data pipelines.
- Strong understanding of data modeling and database concepts.
- Hands-on experience with Power BI.
- Experience working with cloud data platforms.
- Good knowledge of data analysis and visualization.
- Strong analytical and problem-solving skills.
- Ability to work in a 3rd shift environment.
- Good communication and stakeholder management skills.
📌 Data Engineer – Advanced Analytics (Bengaluru)
🏢 NR Consulting
📍 Bengaluru
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