Description
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

Responsibilities
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 technic

📌 Manager Hyderabad
🏢 EXL
📍 Hyderabad