About this role

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:ย 
    • 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.

Frequently Asked Questions

Is the salary disclosed for the GCP Data Engineer position at EXL Talent Acquisition Team?
The salary for this GCP Data Engineer role at EXL Talent Acquisition Team is not publicly listed. Click "Apply Now" to learn more about the compensation package on their official careers page.
Where is the GCP Data Engineer position at EXL Talent Acquisition Team located?
This GCP Data Engineer role at EXL Talent Acquisition Team is based in Hyderabad, Telangana, India. The position is listed as on-site or hybrid. Check the full job description or apply directly to confirm the work arrangement.
How do I apply for the GCP Data Engineer position at EXL Talent Acquisition Team?
Click the "Apply Now" button on this page. You will be redirected to EXL Talent Acquisition Team's official application portal hosted on oraclecloud where you can submit your application directly.
When was the GCP Data Engineer job at EXL Talent Acquisition Team posted?
This GCP Data Engineer position at EXL Talent Acquisition Team was posted on Sep 8, 2026. Apply as soon as possible โ€” early applications are often reviewed first.
GCP Data Engineer
EXL Talent Acquisition Team
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