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Data Architecture Engineering Senior Professional

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Job Description - Data Architecture Engineering Senior Professional

Our Company


We’re Hitachi Vantara, the data foundation trusted by the world’s innovators. Our resilient, high-performance data infrastructure means that customers – from banks to theme parks ­– can focus on achieving the incredible with data.   


If you’ve seen the Las Vegas Sphere, you’ve seen just one example of how we empower businesses to automate, optimize, innovate – and wow their customers. Right now, we’re laying the foundation for our next wave of growth. We’re looking for people who love being part of a diverse, global team – and who get excited about making a real-world impact with data.



The team



Key Responsibilities:



  • Build data pipelines to clean, transform, and aggregate data from disparate sources.

  • Design, build, and maintain ETL processes while working with large and complex datasets.

  • Perform quality assurance on imported data and collaborate with multiple teams as needed.

  • Manage and design the reporting environment, including data sources, security, and metadata.

  • Manage master data, including creation, updates, and deletion.

  • Support the data warehouse by identifying and refining reporting requirements.

  • Develop and troubleshoot reports and dashboards using single or multiple data sources.

  • Evaluate changes and updates to source production systems.


Required Skills:



  • Proven work experience of 5–8 years as a Data Engineer or in a related role.

  • Proficiency in SQL, Reporting, visualization/exploration tools.

  • Strong understanding of data methodologies and processes.

  • Solid understanding of data engineering principles, including statistical analysis.

  • Strong knowledge of metadata management, data modeling, and data governance standards.

  • Familiarity with the AWS ecosystem, including Redshift, Airflow, S3, and related services.

  • Demonstrated experience handling large datasets and relational databases.

  • Knowledge of addressing and metadata standards.

  • Ability to work effectively in a dynamic, research-oriented team with multiple concurrent projects.

  • Familiarity with AI and ML libraries and frameworks.

  • Understanding of data privacy regulations.

  • Knowledge on Oracle EBS/Salesforce (Finance, Supply chain modules, etc.,).

  • Excellent communication, problem-solving, and collaboration abilities



About us

 

We’re a global team of innovators. Together, we harness engineering excellence and passion for insight to co-create meaningful solutions to complex challenges. We turn organizations into data-driven leaders that can a make positive impact on their industries and society. If you believe that innovation can inspire the future, this is the place to fulfil your purpose and achieve your potential.

 

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