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We are seeking a skilled Data Engineer to support a critical enterprise data migration initiative. This role will focus on analyzing existing Hierarchical Data Models (HDM), understanding complex transformation logic, and converting them into scalable, production-ready Data Warehouse (DW) solutions. The ideal candidate will have strong expertise in data engineering, ETL/ELT development, data warehousing, and backend data processing, with the ability to work closely with architects and business stakeholders to ensure successful migration and modernization of enterprise data assets.
Job Responsibility
Analyze existing HDM tables and associated transformation logic
Re-engineer HDM structures into optimized and scalable Data Warehouse tables
Design, develop, and maintain automated ETL/ELT pipelines for production environments
Build and support backend data processing workflows, integrations, and transformation pipelines
Develop and contribute to REST APIs supporting data services and integrations
Collaborate with Data Architects, Product Teams, and Business Stakeholders to validate requirements and ensure successful implementation
Ensure high data quality, consistency, scalability, and performance across migrated datasets
Create detailed technical documentation and support knowledge transfer activities
Support data migration efforts from legacy systems to modern enterprise data platforms
Requirements
3–5+ years of experience as a Data Engineer
Strong expertise in SQL with experience working on large-scale and complex datasets
Hands-on experience with modern Data Warehouse platforms such as Snowflake, Redshift, BigQuery, Teradata, or equivalent
Experience with ETL/ELT tools including DBT, Airflow, Informatica, Talend, or similar technologies
Strong programming skills in Python, Scala, or Java for data processing and automation
Experience building or contributing to REST APIs
Strong understanding of relational databases and SQL optimization techniques
Experience with backend data flows, ETL workflows, batch processing, and event-driven architectures
Knowledge of data modeling concepts including Star Schema, Dimensional Modeling, and Normalization
Strong analytical, troubleshooting, and problem-solving skills
Excellent communication and stakeholder collaboration abilities
Nice to have
Experience working with HDM systems and migrations to modern Data Warehouse platforms
Knowledge of cloud platforms including AWS, Azure, or GCP
Experience documenting and handing off large-scale data migration projects
Familiarity with distributed systems and asynchronous/event-driven architectures