Data Modeller
Apply NowCompany: Tata Consultancy Services
Location: North Palm Beach, FL 33408
Description:
AWS Data Modeling: Design,implement, and optimize cloud-based data models that leverage AWS services likeAmazon Redshift, AWS Glue, Amazon RDS, and Amazon S3 to support data analyticsand business intelligence.
Cloud Data Architecture:Collaborate with data engineers and cloud architects to ensure the properintegration of data sources, storage, and processing in the AWS ecosystem.
Data Warehousing: Design andoptimize data warehouses using Amazon Redshift, ensuring they are scalable,cost-efficient, and capable of handling complex queries and large datasets.
ETL & Data Pipelines:Work closely with the ETL team to design efficient data transformationprocesses and pipelines that align with the AWS cloud architecture. LeverageAWS Glue, Lambda, or other AWS tools to automate and streamline ETL processes.
Normalization & Schema Design:Apply data modeling techniques such as normalization, denormalization, starschema, and snowflake schema to optimize data for analytics and reporting.
Data Integration: Ensureseamless data integration from multiple sources into AWS platforms (RDS, S3,Redshift, etc.), ensuring data consistency, integrity, and accessibility.
Performance Tuning: Monitorand optimize query performance on AWS platforms to ensure fast data retrievaland minimal latency, especially in data lakes and warehouses.
Security& Compliance: Ensure data security and compliance by following AWSbest practices for data governance, encryption, and access management.
Salary Range: $75,000 - $120,000 a year
Cloud Data Architecture:Collaborate with data engineers and cloud architects to ensure the properintegration of data sources, storage, and processing in the AWS ecosystem.
Data Warehousing: Design andoptimize data warehouses using Amazon Redshift, ensuring they are scalable,cost-efficient, and capable of handling complex queries and large datasets.
ETL & Data Pipelines:Work closely with the ETL team to design efficient data transformationprocesses and pipelines that align with the AWS cloud architecture. LeverageAWS Glue, Lambda, or other AWS tools to automate and streamline ETL processes.
Normalization & Schema Design:Apply data modeling techniques such as normalization, denormalization, starschema, and snowflake schema to optimize data for analytics and reporting.
Data Integration: Ensureseamless data integration from multiple sources into AWS platforms (RDS, S3,Redshift, etc.), ensuring data consistency, integrity, and accessibility.
Performance Tuning: Monitorand optimize query performance on AWS platforms to ensure fast data retrievaland minimal latency, especially in data lakes and warehouses.
Security& Compliance: Ensure data security and compliance by following AWSbest practices for data governance, encryption, and access management.
Salary Range: $75,000 - $120,000 a year