Ajna Infotech
AWS Data Architect 15 years experience mandatory
Ajna Infotech, Torrance, California, United States, 90504
Job Description
Need 15+ years of experience
Need 15+ years of experience
Need 15+ years of experience
Please do not send me profiles with 10 or less years of experience.
Read the job description caraefully before applying
Role: AWS Data Architect Location: Toorance CA - Onsite
Type: Contract
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, Glue Functions, CloudWatch and EventBridge.
Data Modeling Proficiency: Designing dimensional and snowflake data models for data warehousing and data lakes.
Data Engineering Skills: Experience with ETL/ELT 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: Data classification, access control, data lineage tracking.
Qualifications:
All your information will be kept confidential according to EEO guidelines.
#J-18808-Ljbffr
Need 15+ years of experience
Need 15+ years of experience
Need 15+ years of experience
Please do not send me profiles with 10 or less years of experience.
Read the job description caraefully before applying
Role: AWS Data Architect Location: Toorance CA - Onsite
Type: Contract
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, Glue Functions, CloudWatch and EventBridge.
Data Modeling Proficiency: Designing dimensional and snowflake data models for data warehousing and data lakes.
Data Engineering Skills: Experience with ETL/ELT 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: Data classification, access control, data lineage tracking.
Qualifications:
All your information will be kept confidential according to EEO guidelines.
#J-18808-Ljbffr