Job Description :
Job Title: AWS Data Business Analyst
Location: Atlanta, GA or Minneapolis, MN (Onsite)
Job Description
  • Work closely with business partners to understand their data requirements and objectives and translate them into well-defined technical specifications for data pipeline implementation.
  • Collaborate with technical teams to design and implement data ingestion, transformation, and processing workflows within our AWS data lake and data warehouse.
  • Evaluate and recommend appropriate AWS services and technologies for building scalable and reliable data pipelines, such as AWS Glue, AWS Data Pipeline, Amazon Redshift, or AWS Lambda.
  • Gather and document data mapping, transformation rules, and data quality requirements to ensure accurate and consistent data flows across the pipelines.
  • Collaborate with the Enterprise Data Service team to ensure compliance with data governance, security, and privacy policies throughout the data pipeline lifecycle.
  • Facilitate the integration of data from various sources into the data lake and data warehouse, ensuring data integrity, consistency, and optimization.
  • Conduct thorough testing and validation of data pipelines to ensure functionality, performance, and reliability, and coordinate with stakeholders to resolve any issues or defects.
  • Provide training and support to end-users, helping them leverage the full capabilities of the data pipelines and AWS data services.
  • Monitor the performance and effectiveness of data pipelines, identify opportunities for optimization and efficiency improvements, and propose recommendations for enhancements.
  • Stay up-to-date with the latest AWS data services, features, and industry best practices, and actively contribute to the continuous improvement of data pipeline processes.

Requirements:
  • Proven experience as a Business Analyst in implementing and optimizing data pipelines within AWS environments, including AWS data lake and data warehouse solutions.
  • Strong understanding of AWS data services and technologies, such as AWS Glue, AWS Data Pipeline, Amazon Redshift, AWS Lambda, and related data storage and processing services.
  • In-depth knowledge of data ingestion, transformation, and ETL (Extract, Transform, Load) processes, as well as data integration and data quality principles.
  • Experience with data governance, data security, and data privacy considerations in an AWS environment.
  • Proficiency in SQL, data modeling, and data visualization tools, as well as scripting languages like Python or PySpark.
  • Excellent analytical and problem-solving skills, with the ability to gather and translate complex business requirements into effective data pipeline solutions.
  • Strong communication and collaboration skills to engage with business partners, technical teams, and vendors.
  • Experience in project management methodologies and tools to drive project execution and ensure successful project completion.
  • Bachelor's degree in Computer Science, Information Systems, or a related field is preferred.


Kamal
Technical Recruiter
Tanisha Systems Inc


Client : Tanisha Systems

             

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