Jersey City, New Jersey
Job Summary
Responsibilities Architect and design end-to-end data solutions on the AWS Cloud Platform, focusing on data warehousing and big data platforms for Manufacturing IndustryBuild Data pipelines with IoT and Sensor data in Medallion ArchitectureImplemented SAP and MES data integration with CloudDevelop high-level and detailed data architecture and design documentation.Implement data security frameworks and enterprise data architecture best practices to ensure the integrity and confidentiality of data.Implement data management and data governance strategies, ensuring compliance with industry standards.Work with data flows, taxonomy, lineage, and virtualization techniques to optimize data operations and organization.Apply your expertise in data modeling using tools such as Erwin to create conceptual, logical, and physical data models.Architect both batch and real-time data solutions, leveraging AWS services and technologies.Architect and Build data platforms using Databricks, EMR, Redshift, Kinesis, Amazon Machine Learning, Amazon Athena,S3,AWS Glue, Dynamo DB, Elastic cache and RDS . Develop and maintain data pipelines for efficient data movement and transformation.Manage metadata and documentation using Erwin's modeling and data cataloging capabilities.
Key Responsibilities
Manage metadata and documentation using Erwin's modeling and data cataloging capabilities.
Skill Requirements
AWS, Databricks, Pyspark, EMR, Redshift, Kinesis, Amazon Machine Learning, Amazon Athena,S3,AWS Glue, Dynamo DB, Elastic cache and RDS and other AWS data tools.SAP & MES Data IntegrationBuild Pipeline with IoT and Sensor Data in Medallion ArchitectureStrong expertise in data exploration using SQL and a deep understanding of data relationships.Extensive knowledge and implementation experience in data management, governance, and security frameworks.Proven experience in creating high-level and detailed data architecture and design documentation.Strong aptitude for business analysis to understand domain data requirements.Design and implement scalable and flexible cloud data architecturesGood to have exposure to Snowflake, No sql DB and Orchestration tools like Airflow.
Other Requirements
RequirementsOver all exp of 15 years in Data Engg with minimum of 6 years of experience in a AWS Data Architect role, supporting warehouse and big data platforms/environments.Proficiency in Databricks, Pyspark, EMR, Redshift, Kinesis, Amazon Machine Learning, Amazon Athena,S3,AWS Glue, Dynamo DB, Elastic cache and RDS and other AWS data tools.SAP & MES Data IntegrationBuild Pipeline with IoT and Sensor Data in Medallion ArchitectureStrong expertise in data exploration using SQL and a deep understanding of data relationships.Extensive knowledge and implementation experience in data management, governance, and security frameworks.Proven experience in creating high-level and detailed data architecture and design documentation.Strong aptitude for business analysis to understand domain data requirements.Design and implement scalable and flexible cloud data architecturesGood to have exposure to Snowflake, No sql DB and Orchestration tools like Airflow.
Maximum Salary (US): 257000
Minimum Salary (US): 132000
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