Key Responsibilities
Design, develop, and maintain scalable data pipelines using Snowflake and cloud technologies.
Build and optimize data ingestion, transformation, and orchestration processes.
Design and implement data models, data marts, and enterprise data warehouse solutions in Snowflake.
Develop ETL/ELT workflows using SQL, Python, and data integration tools.
Collaborate with business stakeholders, data analysts, and architects to understand data requirements.
Perform query tuning and optimize Snowflake performance, storage, and compute utilization.
Implement data quality, governance, security, and monitoring practices.
Support data migration initiatives from legacy platforms to Snowflake.
Develop and maintain technical documentation and data lineage artifacts.
Ensure adherence to enterprise security and compliance standards.

Required Skills

Core Technical Skills
Robust hands-on experience with Snowflake Data Cloud.
Proficiency in SQL and advanced query optimization.




Experience with Python for data engineering and automation.
Expertise in ETL/ELT development and data transformation.
Experience with data modeling (Star Schema, Snowflake Schema, Dimensional Modeling).
Solid understanding of Data Warehousing concepts.

Cloud & Integration
Experience with one or more cloud platforms:
AWS
Azure
GCP
Experience with cloud storage solutions such as S3, Azure Data Lake, or Google Cloud Storage.
Knowledge of APIs and data integration frameworks.

Data Engineering Tools Experience in one or more:
dbt
Airflow
Azure Data Factory (ADF)
Informatica
Matillion
Talend
Fivetran

Nice-to-Have Skills
Power BI, Tableau, or Looker
Databricks
Spark / PySpark
Terraform / Infrastructure as Code
Machine Learning data pipelines

📌 Data Engineer N Bengaluru
🏢 Tata Consultancy Services
📍 Bengaluru