Data Engineer
Tata Consultancy Services
Chennai, Tamil Nadu, India2h agovia LinkedIn
GCP Data Engineer
Key Responsibilities
- Design, develop, and maintain scalable data pipelines for extracting, transforming, and loading data from various sources to ensure seamless data flow and accessibility.
- Collaborate with cross-functional teams to integrate data from multiple disparate sources, ensuring consistency, accuracy, and reliability of data.
- Optimize data processing workflows and storage solutions for performance, scalability, and cost-efficiency.
- Implement data quality checks and validation processes to ensure the accuracy, completeness, and consistency of data throughout the data lifecycle.
- Monitor the performance of data pipelines and infrastructure, identifying and resolving issues to maintain system stability and reliability.
Requirements & Tech Stack
- Expertise in Google Data Engineering services – BigQuery, Dataproc.
- Strong experience in programming languages such as Python, PySpark for data manipulation and engineering tasks.
- Expertise in SQL and NoSQL databases.
- In-depth knowledge of data warehousing solutions.
- Deep understanding of data warehousing concepts.
- Proficiency in designing, developing, and maintaining ETL (Extract, Transform, Load) processes using tools like Apache Airflow, Talend, or Informatica.
Qualifications
- Understanding of DevOps Concepts in GCP.
- Strong understanding of data modeling concepts and techniques to create efficient and scalable data models.
- Experience with version control systems such as Git for code management and collaboration.
- Knowledge of data governance, data quality standards, and data security practices to ensure compliance and protection of sensitive information.