Manager

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.