T echnical Skills

Strong understanding of enterprise data architecture and data management.
Experience designing data warehouses, data lakes, lakehouses, and analytical platforms.
Strong data modeling skills - conceptual, logical, and physical modeling.
Knowledge of cloud data platforms such as:

Azure Synapse
Azure Data Lake
Databricks
Snowflake
AWS Redshift
AWS Glue
Google BigQuery

Experience with ETL/ELT architecture and data pipeline design.
Strong knowledge of data governance, metadata, lineage, and data quality.
Understanding of security, privacy, access control, and compliance requirements.
Familiarity with BI, reporting, analytics, and AI/ML data consumption patterns.

Positive to Have Skills

Experience with enterprise architecture frameworks.
Knowledge of MDM tools and master data governance.
Experience with SAP, S/4HANA, Salesforce, Oracle,



or enterprise application data.
Knowledge of Data Mesh, Data Fabric, and domain-driven data architecture.
Experience with real-time streaming architecture using Kafka, Event Hub, or Kinesis.
Exposure to AI/ML data architecture and feature engineering platforms.

Qualifications

Bachelor's or Master's degree in Computer Science, Information Systems, Data Management, or related field.
3+ years of experience in data engineering, data architecture, BI, analytics, or enterprise data platforms.
1+ years of experience in a data architecture or solution architecture role.
Strong communication, consulting, documentation, and stakeholder management skills.

📌 Walk-in || Data Engineer (Mysuru)
🏢 Larsen and Toubro (L&T)
📍 Mysuru