Data Engineering
- SQL
- Data Warehousing Concepts
- ETL/ELT Development
- Data Validation and Reconciliation
- Data Pipeline Development
Cloud Technologies
- Google Cloud Platform (GCP)
- BigQuery
- Cloud Storage
- Cloud Composer (Airflow)
Development Tools
- DBT (Data Build Tool)
- Git/GitHub
- Python (Basic to Intermediate)
SAS Knowledge
- Understanding of SAS datasets
- PROC SQL
- SAS ETL concepts
- SAS code analysis
Data Modeling Understanding
- Star Schema
- Dimension and Fact Tables
- Source-to-Target Mapping
- Data Lineage Concepts
Manage data engineering projects. Provide strategic guidance. Oversee data engineering team. Ensure continuous improvement of data processes.
QualificationsSAS Migration Support
- Analyze SAS programs, PROC SQL code, and SAS datasets.
- Assist in converting SAS transformation logic into DBT models and SQL transformations.
- Support migration of data from legacy SAS environments to GCP.
- Participate in code conversion, testing, and reconciliation activities.
Data Pipeline Development
- Develop and maintain ELT pipelines using DBT and BigQuery.
- Build reusable transformation models following DBT best practices.
- Implement data ingestion and processing workflows.
- Support batch and incremental data processing requirements.
Data Transformation & Modeling
- Develop SQL-based transformations for Bronze, Silver, and Gold layers.
- Implement business rules and data quality validations.
- Support dimensional models, fact tables, and dimension tables.
- Assist Data Modelers and Architects in implementing target-state data models.
Data Quality & Testing
- Perform source-to-target validation and reconciliation.
- Support automated testing using DBT tests.
- Investigate and resolve data quality issues.
- Ensure completeness, accuracy, and consistency of migrated data.
GCP Development
- Work with GCP services including:
- BigQuery
- Cloud Storage
- Dataproc
- Cloud Composer (Airflow)
Skills Required
- SQL and data warehousing concepts
- ETL/ELT development and data pipeline development
- Data validation and reconciliation
- Google Cloud Platform, including BigQuery, Cloud Storage, Cloud Composer, and Dataproc
- dbt development and best practices
- Git and GitHub
- Basic to intermediate Python
- SAS datasets, PROC SQL, SAS ETL concepts, and SAS code analysis
- Star schema, fact and dimension tables, source-to-target mapping, and data lineage
- Data quality testing, business-rule validation, and reconciliation
EXL Compensation & Benefits Highlights
The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about EXL and has not been reviewed or approved by EXL.
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Healthcare Strength — Medical plan options include HSA, HRA, and PPO choices, with additional health-related programs such as disability coverage and an employee assistance program. Feedback suggests these options provide meaningful flexibility and coverage breadth for many roles.
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Leave & Time Off Breadth — Up to 20 days of paid time off, plus federal holidays and paid sick and safe time, are highlighted. Feedback suggests this leave structure is a notable benefit alongside core compensation.
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Retirement Support — A traditional and Roth 401(k) with up to a 3% company match and full vesting after one year is described. Feedback suggests this match and vesting timeline help bolster long-term savings.
EXL Insights
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.
