Senior Data Engineer.
This mandate is run by SYMPHONI HR, a Mumbai-based executive search firm, est. 2003. Applications are email-verified and reach the search team running the role — confidentially, always.
About the organisation.
Our client is a prominent computer software company known for its innovative solutions and commitment to technological advancement. They operate on a global scale, serving a diverse range of industries with cutting-edge products and services. The company fosters a culture of continuous learning, collaboration, and excellence, empowering its employees to drive significant impact.
About the role.
We are seeking a highly skilled Senior Data Engineer to play a pivotal role in migrating SAS-based data platforms, ETL processes, reporting datasets, and analytical workloads to Google Cloud Platform (GCP) using DBT. This role involves designing, developing, optimizing, and supporting robust cloud-native data pipelines. You will be instrumental in ensuring data quality, scalability, security, and compliance throughout large-scale data migration and modernization initiatives.
What you will do.
- Analyze existing SAS datasets, ETL jobs, PROC SQL code, and SAS macros to inform migration strategies
- Convert SAS transformation logic into DBT models and cloud-native data pipelines on GCP
- Support the migration of historical and incremental data from SAS platforms to GCP environments
- Design and develop scalable ELT pipelines utilizing DBT and Google BigQuery
- Build and optimize data ingestion, transformation, and aggregation processes for performance
- Implement data quality validation frameworks and perform source-to-target reconciliation between SAS and GCP
- Build and manage solutions using GCP services such as BigQuery, Cloud Storage, Dataproc, and Cloud Composer
- Collaborate with Data Architects, Business Analysts, Data Modelers, and QA teams on project delivery
- Mentor junior engineers and enforce engineering best practices within the team
What you bring.
- 9–12 years of experience in Data Engineering, with a Bachelor's or Master's degree in a related field
- Minimum 3+ years of experience with Google Cloud Platform (GCP) and BigQuery
- Minimum 2+ years of hands-on experience with DBT (Data Build Tool)
- Strong expertise in SQL, Python, and PySpark for data manipulation and pipeline development
- Proven experience in large-scale data migration or modernization programs
- Proficiency with GCP services including Cloud Storage, Dataproc, Cloud Composer (Airflow), and Dataflow
- Solid understanding of data warehousing concepts, ETL/ELT development, and data pipeline design
- Experience with SAS technologies such as SAS Base, SAS Enterprise Guide, PROC SQL, and SAS Macros
- Familiarity with data modeling techniques including Star Schema, Snowflake Schema, and Dimensional Modeling
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