Cloud Data Engineering Specialist
3 weeks ago
Job Overview: Tata Consultancy Services is seeking an experienced Cloud Data Engineer to join our team in Bangalore, India.
Responsibilities:
- Data Pipeline Development: Collaborate with data scientists, analysts, and stakeholders to design, develop, and implement efficient data pipelines integrating various data sources.
- Cloud Data Platform Architect: Utilize expertise in working with cloud-based data platforms, especially Azure, to architect, deploy, and maintain scalable and reliable data infrastructure.
- Databricks Expertise: Demonstrate a strong understanding of Databricks and its capabilities as a primary platform for big data processing, analytics, and machine learning.
- Data Modelling: Create and optimize data models supporting data analytics, reporting, and visualization needs while ensuring data integrity, accuracy, and consistency.
- Performance Optimization: Continuously monitor and fine-tune data pipelines and processing workflows to enhance overall performance and efficiency considering large-scale data sets.
- ETL Processes: Implement ETL processes to extract data from diverse sources, transform it into suitable formats, and load it into the data warehouse or analytical systems.
- Data Security and Compliance: Ensure data security and compliance with data privacy regulations throughout the data engineering process.
- Collaboration: Work closely with cross-functional teams to understand data requirements, share insights, and provide technical support.
- Troubleshooting and Issue Resolution: Proactively identify data-related issues and provide timely resolutions to maintain smooth data operations.
Salary Information: The estimated annual salary range for this position is ₹25,00,000 - ₹40,00,000 based on location and experience. This figure may vary based on individual qualifications and company standards.
Benefits and Requirements: A bachelor's degree in Computer Science or related field and at least 5+ years of experience in data engineering, cloud computing, and big data processing are required. Strong communication skills, ability to work under pressure, and proficiency in Microsoft Teams are essential for this role.
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