Data Architect

hace 7 días


Zapopan, Jalisco, México Stand 8 A tiempo completo
About the Role

Stand 8 is a global leader in providing end-to-end IT Solutions, solving business problems through PEOPLE, PROCESS, and TECHNOLOGY. We are seeking a highly skilled professional to help us scale software projects designed to change the world.

Key Responsibilities
  • Augment and maintain existing repositories and data structures within AWS, used to process and store large amounts of data from unrelated sources.
  • Experience with various data ingestion formats and means, including structured, semi-structured, and unstructured data types, and on-premise and cloud-based sources, utilizing the most appropriate techniques in each case.
  • Expand and enhance the data model, utilizing best practices, in regards to data organization and relationships.
  • Optimize existing and future models for fast and scalable queries, while maintaining performance and related price thresholds.
  • Work with the team to define, construct, and maintain self-service dashboards for the Business and Advanced Analytics teams within PowerBI.
  • Implement scalable and flexible, high-performance data pipelines for AWS to support analytics.
  • Develop and maintain data maps and their relationships.
  • Generate associated technical documentation, including follow-up reports.
  • Work with Data Governance to implement quality rules and data governance measures, such as data dictionaries, metadata, and traceability.
  • Propose improvements and actions based on provided results.
  • Communicate results effectively with required teams.
Required Skillsets
  • Advanced knowledge and experience using Python, Airflow, Spark, AWS, and Snowflake.
  • Database architectures: SQL, NoSQL, graph databases.
  • CI/CD and Orchestration: Jira, Jenkins, Bit Bucket, Terraform, and Airflow.
  • Past experience with data modeling tools, ETL tools (e.g. Informatica Power Center).
Knowledge, Skills, and Abilities
  • Bachelor's Degree with 6+ years of experience.
  • Advanced knowledge and experience using Python, Airflow, Spark, AWS, and Snowflake.
  • Database architectures: SQL, NoSQL, graph databases.
  • CI/CD and Orchestration: Jira, Jenkins, Bit Bucket, Terraform, and Airflow.
  • Past experience with data modeling tools, ETL tools (e.g. Informatica Power Center).
  • Computer languages, data query and transformation tools: AWS Athena, Jupyter notebooks, Spark, Pyspark, Python, and EMR Studio.
  • Algorithm analysis (for working with our Data Scientists).
  • Understanding of multidimensional modeling for quantitative and fact-related data storage.
  • OS: Linux, and MS Windows.
  • Code IDE: Microsoft Visual Code, Jupyter notebooks.
  • Artificial intelligence, machine learning, and deep learning are a plus.


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