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AWS, Snowflake with Data Architect

AWS, Snowflake with Data Architect

ConfidentialChennai
25 days ago
Job description

What awaits you / Job Profile

  • Design and develop scalable data pipelines using AWS services.
  • Integrate diverse data sources and ensure data consistency and reliability.
  • Collaborate with data scientists and other stakeholders to understand data requirements.
  • Implement data security measures and maintain data integrity.
  • Monitor and troubleshoot data pipelines to ensure optimal performance.
  • Optimize and maintain data warehouse and data lake architectures.
  • Create and maintain comprehensive documentation for data engineering processes.

What should you bring along

  • Proven experience with Snowflake and SQL.
  • Expert-level proficiency in building and managing data pipelines with Python.
  • Strong experience in AWS cloud services, including Lambda, S3, Glue, and other data-focused services.
  • Exposure Terraform for provisioning and managing infrastructure-as-code on AWS.
  • Proficiency in SQL for querying and modeling large-scale datasets.
  • Hands-on experience with Git for version control and managing collaborative workflows.
  • Familiarity with ETL / ELT processes and tools for data transformation.
  • Strong understanding of data architecture, data modeling, and data lifecycle management.
  • Excellent problem-solving and debugging skills.
  • Strong communication and collaboration skills to work effectively in a global, distributed team environment.
  • Must have technical skill

  • Good understanding of Architecting the data and solution.
  • Data Quality, Governance, Data Security and Data Modelling concepts.
  • Data Modelling, Mapping and Compliance to BaDM.
  • Solutioning on Cloud (AWS) with cloud tools, with good Understanding Snowflake.
  • Defining CI / CD config for GitHub and AWS Terraform for deployment config.
  • Ensuring Architecture evolution with latest technology.
  • Guiding and mentoring team, reviewing code and ensuring development to standards.
  • Good to have Technical skills

  • Strong understanding of ETL Concepts, design patterns, industry best practices.
  • Experience with ETL testing
  • Snowflake Certification.
  • AWS Certification.
  • Skills Required

    Terraform, Git, Data Transformation, Data Architecture, Data Modeling

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