Data Architecture Engineering Senior Professional

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