Role & Responsibilities
- Design, develop, and maintain scalable data pipelines and data engineering solutions using Python and SQL.
- Develop and optimize complex SQL queries for data extraction, transformation, validation, and analysis.
- Use Python for data processing, automation, transformation, and pipeline development.
- Work with GCP or other cloud platforms to build and support cloud-based data solutions.
- Develop, monitor, troubleshoot, and maintain reliable ETL/ELT data pipelines.
- Perform data validation and ensure data quality, accuracy, consistency, and completeness.
- Troubleshoot data pipeline and production issues and identify appropriate technical solutions.
- Optimize data processing and query performance to improve efficiency and scalability.
- Collaborate with technical teams, stakeholders, and other developers to understand requirements and deliver effective data solutions.
- Maintain proper technical documentation for data pipelines, processes, and solutions.
- Follow best practices for data security, reliability, scalability, and maintainability.




- Take ownership of assigned tasks and provide timely updates on development and production activities.
- Nice to have: Work with Databricks/PySpark and Apache Airflow for data processing and workflow orchestration.

Preferred Candidate Profile
- 6+ years of relevant experience in Data Engineering, Data Development, or a closely related field.
- Strong hands-on experience with SQL and Python is mandatory.
- Good understanding of data engineering concepts, ETL/ELT processes, data pipelines, and data transformation.
- Experience with any major cloud platform such as GCP, AWS, or Azure; GCP experience is preferred.
- Candidates with hands-on experience in GCP services, particularly BigQuery, will be strongly preferred.
- Knowledge of Databricks, PySpark, or Apache Airflow will be an added advantage.
- Robust analytical and problem-solving skills with good attention to detail.
- Good understanding of da

📌 Gcp Data Engineer (India)
🏢 Talent Corner HR Services
📍 India