Data Architecture Engineering Senior Professional

Hitachi Vantara
Posted on
Hitachi Vantara logo

Experience
10 - 16 yrs
Job Location
Hyderabad, India
Vacancy
1
Designation
Senior Data Architect
Job Type
ONSITE

Job Description

Our Company Were Hitachi Vantara, the data foundation trusted by the worlds innovators. Our resilient, high-performance data infrastructure means that customers from banks to theme parks - can focus on achieving the incredible with data. If youve seen the Las Vegas Sphere, youve seen just one example of how we empower businesses to automate, optimize, innovate and wow their customers. Right now, were laying the foundation for our next wave of growth. Were 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.
What youll bring
  • Proven work experience 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
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