Senior Analytics Data Engineer

hace 2 semanas

Tlaquepaque, Jalisco, México Hewlett Packard A tiempo completo
Job Summary

The Senior Analytics Data Engineer will design, build, and operate high-performance Business Intelligence (BI) solutions utilizing the comprehensive capabilities of the company's analytics platform.

This role will enable and support the intelligence strategy, ensuring sustainable, effective, and efficient solutions. The successful candidate will collaborate on data solutions, support intellectual curiosity, and continuous learning to meet individual and team development goals.

Key Responsibilities
  • Lead one or more project teams of other data engineers for all stages of design and development for complex, secure, and performant data solutions and models.
  • Review and evaluate designs and project activities for compliance with architecture, security, and quality guidelines and standards.
  • Drive innovation and integration of new technologies into projects and activities in the big data space.
  • Create and maintain optimal data pipeline/ETL architecture.
  • Build the infrastructure required for optimal extraction, transformation, and loading of data from a wide variety of data sources using MS SQL/SSIS and Big Data technologies.
  • Develop technical solutions in MS SQL and cloud-based technologies, ensuring they are designed and built to be sustainable and robust.
  • Perform data modeling and prepare data in databases for use in various analytics tools and configure and develop data pipelines to move and optimize data assets.
  • Provide necessary technical support through all phases of solution life cycle.
  • Independently handle complex issues with minimal supervision, while escalating only the most complex issues to appropriate staff.
Requirements
  • Must Have: SQL Programming, ETL (SSIS/Azure Data Factory/AWS Glue), Data Warehouse, Database Architecture, Analytical knowledge, Problem Solving, AWS/Azure/GCP.
  • Reporting Tools: Tableau/Power BI, Excel Charts, etc.
  • Nice to have: Databricks, Github, Jira Confluence, Big Data technologies, Airflow, Spark, Kafka, etc.
  • Experience working with Google Cloud Platform (GCP), AWS, MS SQL.
  • Basic knowledge/experience with big data tools: Azure, Airflow, Spark, Kafka, etc.
  • Fluent in NoSQL & relational based systems.
  • Excellent analytical and problem-solving skills.
  • Experience with reporting tools and data sources.
  • Proven track record implementing BI solutions.
  • Extensive experience with data engineering tools, languages, frameworks to mine, cleanse, and explore data.
  • Strong understanding of eCommerce business value creation by leveraging disparate data sourcing and enabling business decisions.
  • Excellent communication skills, both written and verbal.
  • Demonstrated ability to understand and use technology to improve process and control.
  • Designing data systems/solutions to manage complex data in complex, distributed, and massively parallel systems.
  • Evaluating forms and processes for database architecture testing and methodology, including writing and execution of test plans, debugging, and testing scripts and tools.
  • Ability to effectively communicate product architectures, design proposals, and negotiate options at senior management levels.

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