Cloud Data Architect

1 day ago


Pune, Maharashtra, India Tata Consultancy Services Full time

We are seeking a highly skilled Cloud Data Engineer to join our team at Tata Consultancy Services in Mumbai/Pune. As a Cloud Data Architect, you will design and develop scalable data solutions and pipelines using AWS services like Lambda, EC2, S3, Airflow, and Snowflake.

The ideal candidate will have expertise in AWS Cloud Computing, Snowflake, and Data Lake technologies. Key responsibilities include:

  • Data Engineering & Pipelines: Develop and optimize ETL/ELT pipelines using Snowflake and AWS services, implement robust data lake architectures for efficient data storage and retrieval.
  • Cloud Services: Manage AWS infrastructure, including S3, EC2, Lambda, and RDS for data operations, automate workflows using AWS Airflow or Step Functions.
  • Development & Integration: Write efficient, reusable Python scripts for data transformations and analytics, integrate data pipelines with Snowflake for real-time and batch processing.
  • Monitoring & Optimization: Monitor data pipelines for performance, reliability, and scalability, optimize cloud resources for cost-efficiency.
  • Collaboration & Reporting: Work closely with data scientists, analysts, and stakeholders to gather requirements, provide insights and dashboards using tools like QuickSight or Power BI (optional).

To succeed in this role, you will require:

  • Proficiency in AWS services (Lambda, EC2, S3, Glue, Athena, Redshift)
  • Strong expertise in Snowflake architecture, SnowSQL, and performance tuning
  • Experience with Data Lake design and implementation
  • Advanced knowledge of Python for scripting and automation
  • Hands-on experience with Apache Airflow for workflow orchestration
  • Familiarity with SQL for data querying and transformation

A Bachelor's or Master's degree in Computer Science, Information Technology, or a related field is required. We estimate the salary for this position to be around ₹20-30 lakhs per annum, based on industry standards and the location of Mumbai/Pune.



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