Job Summary :

We are seeking a skilled Data Engineer with experience in designing and building scalable data pipelines and analytical workflows. The ideal candidate will have strong expertise in GoLang, Python, BigQuery, and Google Cloud Platform (GCP), along with experience working with relational and NoSQL databases, statistical analysis, and data visualization tools.

Key Responsibilities :

- Design, develop, and maintain robust data pipelines and analytical workflows.

- Build scalable data processing solutions using GoLang and Python.

- Develop and optimize data models and queries using BigQuery.

- Work with Google Cloud Platform (GCP) services to support data engineering initiatives.

- Integrate and manage data across relational and NoSQL database systems.

- Perform statistical analysis to derive insights and support business requirements.

- Create and maintain dashboards and visualizations using Grafana and Tableau.

- Ensure data quality, reliability, and performance across data platforms.

- Collaborate with cross-functional teams to support analytics and reporting needs.

- Troubleshoot and resolve data-related issues while optimizing system performance.

Required Skills :

- GoLang, Python, BigQuery, Google Cloud Platform (GCP), Data Engineering, Relational Databases, NoSQL Databases, Statistical Analysis, Grafana, Tableau, Data Pipelines, Analytical Workflows, Cloud Data Solutions.

Educational Qualification :

- UG : Any Graduate

- PG : Any Postgraduate

Preferred Candidate Profile :

- 5-8 years of experience in Data Engineering.

- Strong understanding of cloud-based data platforms and analytics solutions.

- Experience working with large-scale data processing and reporting environments.

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