Data Architecture Engineering Senior Professional

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Early Applicant

Job Description

Location: Hyderabad, India

Function: (DEAI HV) IT

Requisition ID: R01036291

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 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