Tata Consultancy Services: Expert Data Engineer
5 days ago
About the Company
Tata Consultancy Services (TCS) is a leading IT services company that enables organizations to transform and grow their businesses. We are a global leader in consulting, technology, and business process outsourcing.
Job Description
We are seeking an expert data engineer to join our team at TCS. As a data engineer, you will be responsible for designing, developing, and maintaining large-scale data processing systems using Snowflake as the primary data warehousing platform. You will work closely with cross-functional teams to ensure timely delivery of projects and meet customer expectations.
Key Responsibilities
- Design and develop scalable ETL pipelines using Python, Pandas, and NumPy libraries to extract, transform, and load data into Snowflake data warehouse.
- Develop complex SQL scripts to query Snowflake data warehouse and perform data analysis tasks.
- Collaborate with business analysts and reporting teams to develop data-driven solutions that meet business intelligence and reporting requirements.
- Assist in database design and development based on business intelligence and reporting requirements.
- Participate in Agile methodology and coordinate with team POC on migration plans.
Requirements
- 6-9 years of experience in data engineering with a focus on Snowflake data warehousing platform.
- Strong knowledge of Python, Pandas, NumPy, and SQL programming languages.
- Experience with software development best practices including Git-based source control.
- Proficiency in writing medium to complex queries and scripting for automation.
- Solid understanding of Object-Oriented Programming concepts.
- Good exposure to version control tools like Bitbucket/Git.
Benefits
TCS offers a comprehensive benefits package that includes medical insurance, retirement savings plan, paid time off, and opportunities for professional growth and development.
Salary Information
The estimated annual salary for this position is ₹1,200,000 - ₹1,800,000 (based on location and experience).
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