TCS Walk-in at Kolkata- Ecospace
Date- 25-Jul-26
JD
- Total 12+ years in IT with 6+ years in data architecture roles and at least 4+ years hands-on experience architecting solutions on AWS.
- Deep expertise in AWS data services: Redshift, Glue (Jobs, Crawlers, Workflows, Data Catalog), S3, Lambda, Athena, EMR, Kinesis, DynamoDB, RDS, Lake Formation, and Step Functions.
- Strong hands-on skills in Python and PySpark for data engineering, transformation, and automation at scale.
- Advanced SQL skills with proven experience designing and optimizing Redshift data warehouses (distribution/sort keys, WLM, Spectrum, materialized views).
- Solid understanding of data modeling techniques (3NF, dimensional/star-snowflake, Data Vault) for OLTP, OLAP, and lakehouse architectures.
- Experience designing batch, micro-batch, and real-time streaming pipelines using Kinesis, MSK (Kafka), or equivalent.
- Hands-on experience with IaC frameworks such as CloudFormation, Terraform, or AWS CDK, and CI/CD tools (CodePipeline, Jenkins, GitHub Actions).
- Strong understanding of data security, encryption, IAM policies, VPC networking, and compliance frameworks (GDPR, HIPAA, SOC 2).
- Experience integrating AWS data platforms with BI (QuickSight, Power BI, Tableau) and ML platforms (SageMaker).
- Proven ability to lead architecture discussions, produce HLD/LLD artifacts, and present solutions to CXO-level stakeholders.
Desired Skills
AWS | Data architect
Desired Candidate Profile
Qualifications : BACHELOR OF ENGINEERING
