AWS Data Architect

About My Client:-


My client is a global technology consulting and digital solutions company that enables enterprises across industries to reimagine business models, accelerate innovation, and maximize growth by harnessing digital technologies. As a digital transformation partner to more than 700+ clients,client brings extensive domain and technology expertise to help drive superior competitive differentiation, customer experiences, and business outcomes in a converging world. Powered by nearly 90,000 talented and entrepreneurial professionals across more than 30 countries

Role--AWS Data Architect


Location -Torrance, CA


Job Type-C2C


Key skill The role requires specific skills around developing CDM (Conceptual Data Model), LDM (Logical Data Model), PDM (Physical Data Model), data modeling, integration, data migration, and ETL development on the AWS platform.


Key Responsibilities


Architect and implement a scalable data hub solution on AWS using best practices for data ingestion transformation storage and access control


Define data models data lineage and data quality standards for the DataHub


Select appropriate AWS services S3 Glue Redshift Athena Lambda based on data volume access patterns and performance requirements


Design and build data pipelines to extract transform and load data from various sources databases APIs flat files into the DataHub using AWS Glue AWS Batch or custom ETL processes


Implement data cleansing and normalization techniques to ensure data quality


Manage data ingestion schedules and error handling mechanisms


Required Skills and Experience


AWS Expertise Deep understanding of AWS data services including S3 Glue Redshift Athena Lake Formation Sep Functions CloudWatch and EventBridge


Data Modeling Proficiency in designing dimensional and snowflake data models for data warehousing and data lakes


Data Engineering Skills Experience with ETLELT processes data cleansing data transformation and data quality checks Experience with Informatica IICS and ICDQ is a plus


Programming Languages Proficiency in Python SQL and potentially PySpark for data processing and manipulation


Data Governance Knowledge of data governance best practices including data classification access control and data lineage tracking


Skills


Mandatory Skills : GCP Data Architecture,MDM Conceptual,Data Architecture,Data lakehouse Architecture,Dimensional Data Modeling.

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