ITTConnect
AWS Data Architect
ITTConnect, Atlanta, Georgia, United States, 30383
Job Description
ITTConnect is seeking an
AWS Data Architect
to work for a client in the US. This is a Contract to Hire position with a client that is a global leader in consulting, digital transformation, technology and engineering services present in nearly 50 countries. The end client is in the Telecom business. This role is crucial for leveraging AWS technologies to drive data-driven decision-making and innovation.
Job location: Hybrid, 3/2 in the Sandy Springs area in Atlanta .
4-month minimum as a
contractor , followed by full employment with benefits at the client .
Requirements
Key Responsibilities :
Design Data Pipelines: Develop and implement scalable data ingestion and processing pipelines to move data from various sources into data storage solutions. Data Integration: Integrate data from different sources, ensuring accuracy and accessibility. Data Modeling: Create and maintain data models that efficiently store and organize data for analysis. ETL Processes: Build and manage Extract, Transform, Load (ETL) processes using AWS services like AWS Glue and Amazon Redshift. Data Quality Assurance: Implement data quality checks and validation processes. Performance Optimization: Monitor and optimize the performance of data processing jobs and databases. Collaboration: Work closely with data scientists, analysts, and other stakeholders to understand their data requirements. Security and Compliance: Ensure data security and compliance with regulations. Documentation: Maintain thorough documentation of data architecture, processes, and workflows. Staying Current: Keep up-to-date with the latest AWS services, data engineering practices, and industry trends. Requirements:
Education: Bachelor's degree in Computer Science, Engineering, or a related field. Experience: 7+ years in data engineering or data architecture, with hands-on experience in AWS services. Skills: Proficiency in AWS data services such as Amazon S3, AWS Glue, Amazon Redshift, and AWS Lambda; strong SQL and programming skills (Python, Java, or Scala). Preferred Qualifications :
Advanced Degree: Masters or PhD in a related field. Certifications: AWS Certified Data Analytics - Specialty, AWS Certified Solutions Architect - Associate. Experience: With big data technologies like Apache Hadoop, Apache Spark, or Amazon EMR. Soft Skills: Strong analytical, problem-solving, and communication skills.
Benefits
None.
AWS Data Architect
to work for a client in the US. This is a Contract to Hire position with a client that is a global leader in consulting, digital transformation, technology and engineering services present in nearly 50 countries. The end client is in the Telecom business. This role is crucial for leveraging AWS technologies to drive data-driven decision-making and innovation.
Job location: Hybrid, 3/2 in the Sandy Springs area in Atlanta .
4-month minimum as a
contractor , followed by full employment with benefits at the client .
Requirements
Key Responsibilities :
Design Data Pipelines: Develop and implement scalable data ingestion and processing pipelines to move data from various sources into data storage solutions. Data Integration: Integrate data from different sources, ensuring accuracy and accessibility. Data Modeling: Create and maintain data models that efficiently store and organize data for analysis. ETL Processes: Build and manage Extract, Transform, Load (ETL) processes using AWS services like AWS Glue and Amazon Redshift. Data Quality Assurance: Implement data quality checks and validation processes. Performance Optimization: Monitor and optimize the performance of data processing jobs and databases. Collaboration: Work closely with data scientists, analysts, and other stakeholders to understand their data requirements. Security and Compliance: Ensure data security and compliance with regulations. Documentation: Maintain thorough documentation of data architecture, processes, and workflows. Staying Current: Keep up-to-date with the latest AWS services, data engineering practices, and industry trends. Requirements:
Education: Bachelor's degree in Computer Science, Engineering, or a related field. Experience: 7+ years in data engineering or data architecture, with hands-on experience in AWS services. Skills: Proficiency in AWS data services such as Amazon S3, AWS Glue, Amazon Redshift, and AWS Lambda; strong SQL and programming skills (Python, Java, or Scala). Preferred Qualifications :
Advanced Degree: Masters or PhD in a related field. Certifications: AWS Certified Data Analytics - Specialty, AWS Certified Solutions Architect - Associate. Experience: With big data technologies like Apache Hadoop, Apache Spark, or Amazon EMR. Soft Skills: Strong analytical, problem-solving, and communication skills.
Benefits
None.