
We are looking for a skilled Data Engineer / Data Warehouse Engineer to design, develop, and maintain scalable data pipelines and enterprise data warehouse solutions. The role involves close collaboration with business stakeholders and BI teams to deliver high-quality data for analytics and reporting.
Key Responsibilities
- Collaborate with business users and stakeholders to understand business processes and data requirements
- Design and implement dimensional data models, including fact and dimension tables
- Identify, design, and implement data transformation and cleansing logic
- Build and maintain scalable, reliable, and high-performance ETL/ELT pipelines
- Extract, transform, and load data from multiple source systems into the Enterprise Data Warehouse
- Develop conceptual, logical, and physical data models, including metadata, data lineage, and technical definitions
- Design, develop, and maintain ETL workflows and mappings using appropriate data load techniques
- Provide high-level design, research, and effort estimates for data integration initiatives
- Provide production support for ETL processes to ensure data availability and SLA adherence
- Analyze and resolve data pipeline and performance issues
- Partner with BI teams to design and develop reports and dashboards while ensuring data integrity and quality
- Translate business requirements into well-defined technical data specifications
- Work with data from ERP, CRM, HRIS, and other transactional systems for analytics and reporting
- Define and document BI usage through use cases, prototypes, testing, and deployment
- Support and enhance data governance and data quality processes
- Identify trends, patterns, anomalies, and data quality issues, and recommend improvements
- Train and support business users, IT analysts, and developers
- Lead and collaborate with teams spread across multiple locations
Required Skills & Qualifications
- Bachelor’s degree in Computer Science or a related field, or equivalent work experience
- 3+ years of experience in Data Warehousing, Data Engineering, or Data Integration
- Strong expertise in data warehousing concepts, tools, and best practices
- Excellent SQL skills
- Strong knowledge of relational databases such as SQL Server, PostgreSQL, and MySQL
- Hands-on experience with Google Cloud Platform (GCP) services, including:
- BigQuery
- Cloud SQL
- Cloud Composer (Airflow)
- Dataflow
- Dataproc
- Cloud Functions
- Google Cloud Storage (GCS)
- Experience with Informatica PowerExchange for Mainframe, Salesforce, and modern data sources
- Strong experience integrating data using APIs, XML, JSON, and similar formats
- In-depth understanding of OLAP, ETL frameworks, Data Warehousing, and Data Lakes
- Solid understanding of SDLC, Agile, and Scrum methodologies
- Strong problem-solving, multitasking, and organizational skills
- Experience handling large-scale datasets and database design
- Strong verbal and written communication skills
- Experience leading teams across multiple locations
Good to Have
- Experience with SSRS and SSIS
- Exposure to AWS and/or Azure cloud platforms
- Experience working with enterprise BI and analytics tools
Why Join Us
- Opportunity to work on large-scale, enterprise data platforms
- Exposure to modern cloud-native data engineering technologies
- Collaborative environment with strong stakeholder interaction
- Career growth and leadership opportunities

About Quantiphi
About
Quantiphi is an award-winning AI-first digital engineering company driven by the desire to reimagine and realize transformational opportunities at the heart of the business. Since its inception in 2013, Quantiphi has solved the toughest and most complex business problems by combining deep industry experience, disciplined cloud, and data-engineering practices, and cutting-edge artificial intelligence research to achieve accelerated and quantifiable business results.
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