GCP Data Engineer
Hyderabad, Telangana, India
- Pay
- Salary not listed in the saved posting
- Work setup
- Unconfirmed
- Employment
- Unconfirmed
Tools in this posting
- SAS
- SQL
- dbt
- Google Cloud (GCP)
- Python
- BigQuery
Source — Tool mentions in context
- Python (Basic to Intermediate) SAS Knowledge - Understanding of SAS datasets
SAS Knowledge - Understanding of SAS datasets - PROC SQL
- PROC SQL - SAS ETL concepts - SAS code analysis
- SAS ETL concepts - SAS code analysis Data Modeling Understanding
Manage data engineering projects. Provide strategic guidance. Oversee data engineering team. Ensure continuous improvement of data processes. SAS Migration Support - Analyze SAS programs, PROC SQL code, and SAS datasets.
SAS Migration Support - Analyze SAS programs, PROC SQL code, and SAS datasets. - Assist in converting SAS transformation logic into DBT models and SQL transformations.
- 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.
- 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 Engineering - SQL - Data Warehousing Concepts
- Understanding of SAS datasets - PROC SQL - SAS ETL concepts
Data Transformation & Modeling - Develop SQL-based transformations for Bronze, Silver, and Gold layers. - Implement business rules and data quality validations.
Development Tools - DBT (Data Build Tool) - Git/GitHub
Data Pipeline Development - Develop and maintain ELT pipelines using DBT and BigQuery. - Build reusable transformation models following DBT best practices.
- Develop and maintain ELT pipelines using DBT and BigQuery. - Build reusable transformation models following DBT best practices. - Implement data ingestion and processing workflows.
- Perform source-to-target validation and reconciliation. - Support automated testing using DBT tests. - Investigate and resolve data quality issues.
Cloud Technologies - Google Cloud Platform (GCP) - BigQuery
GCP Development - Work with GCP services including: - BigQuery
- Git/GitHub - Python (Basic to Intermediate) SAS Knowledge
- Google Cloud Platform (GCP) - BigQuery - Cloud Storage
- Work with GCP services including: - BigQuery - Cloud Storage
Posting record
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- Live
- First seen by us
- Oct 7, 2026 · 9d ago
- Recorded sightings
- 57
- Last seen by us
- Oct 15, 2026
These dates show when we found the listing. Check the employer’s website to confirm it is still accepting applications.
Job description
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.
SAS 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)
Your next step
- Have your CV and examples of relevant work ready.
- Check the listed location, eligibility and core experience before starting.
- Ask the employer about the salary range before committing time to the process.
Complete your application on fa-ewjt-saasfaprod1.fa.ocs.oraclecloud.com. The employer’s form will show what is required.
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Source details
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- Pay
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- Location & working pattern
Hyderabad, Telangana, India
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- Work authorization
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