Core Technologies
- DBT (Data Build Tool)
- Google BigQuery
- SQL
- Python
- PySpark
- Git
GCP Services
- BigQuery
- Cloud Storage
- Dataproc
- Cloud Composer (Airflow)
- Dataflow
- IAM
SAS Technologies
- SAS Base
- SAS Enterprise Guide
- PROC SQL
- SAS Macros
- SAS Data Sets
Data Engineering
- ETL / ELT Development
- Data Warehousing
- Data Pipeline Design
- Performance Optimization
- Data Validation & Reconciliation
Data Modeling
- Star Schema
- Snowflake Schema
- Dimensional Modeling
- Source-to-Target Mapping
SAS Migration & Modernization
- Analyze existing SAS datasets, ETL jobs, PROC SQL code, and SAS macros.
- Convert SAS transformation logic into DBT models and cloud-native data pipelines.
- Support migration of historical and incremental data from SAS platforms to GCP.
- Participate in migration assessments, code conversion, and reconciliation activities.
Data Engineering & Development
- Design and develop scalable ELT pipelines using DBT and BigQuery.
- Build and optimize data ingestion, transformation, and aggregation processes.
- Develop reusable and modular DBT models following best practices.
- Implement performance tuning for SQL and BigQuery workloads.
- Create and maintain data lineage and metadata documentation.
Data Quality & Reconciliation
- Design and implement data quality validation frameworks.
- Perform source-to-target reconciliation between SAS and GCP platforms.
- Investigate and resolve data inconsistencies and migration issues.
- Support automated testing and monitoring of data pipelines.
Cloud Platform Development
- Build and manage solutions using:
- BigQuery
- Cloud Storage
- Dataproc
- Cloud Composer (Airflow)
- Dataflow
- Support data security, access controls, and governance requirements.
Collaboration & Delivery
- Work closely with Data Architects, Business Analysts, Data Modelers, and QA teams.
- Participate in design reviews and sprint planning sessions.
- Estimate effort and provide technical input during project planning.
- Mentor junior engineers and enforce engineering best practices.
Graduate in Computer Science, Data Science, or related field. 4-6 years of experience in data engineering or related field.
Skills Required
- Graduate degree in Computer Science, Data Science, or a related field
- 4-6 years of experience in data engineering or a related field
- Experience with DBT, BigQuery, SQL, Python, PySpark, and Git
- Experience with Google Cloud services including Cloud Storage, Dataproc, Cloud Composer, Dataflow, and IAM
- Experience with SAS Base, SAS Enterprise Guide, PROC SQL, SAS Macros, and SAS Data Sets
- Experience developing ETL and ELT pipelines, data warehouses, and data models
- Experience with data validation, source-to-target reconciliation, and data quality frameworks
- Experience with SAS migration and modernization to cloud-native data platforms
What We Do
Choosing a digital partner is about more than capabilities — it’s about collaboration and character. Unrealistic overhauls and off-the-shelf products ignore what matters most — your unique needs, culture, goals, and your legacy data and technology environments. At EXL, our collaboration is built on ongoing listening and learning to adapt our methodologies. We’re your business evolution partner—tailoring solutions that make the most of data to make better business decisions and drive more intelligence into your increasingly digital operations. Whether your goals are scaling the use of AI and digital, redesign operating models, or driving better and faster decisions, we’re here to partner with you to help you gain—and maintain—competitive advantage with efficient, sustainable models at scale. Our expertise in transformation, data science, and change management helps make your business more efficient and effective, improve customer relationships and enhance revenue growth. Instead of focusing on multi-year, resource- and time-intensive platform designs or migrations, we look deeper at your entire value chain to integrate strategies with impact. We use our specialization in analytics, digital interventions, and operations management—alongside deep industry expertise — to deliver solutions that help you outperform the competition. At EXL, it’s all about outcomes—your outcomes—and delivering success on your terms. Share your goals with us and together, we’ll optimize how you leverage data to drive your business forward. For more information, visit www.exlservice.com.
