Posted on: 18/10/2025
Description :
Job Title : Data Engineer GCP | BigQuery | Incorta | SQL.
Location : Gurgaon.
Experience : 4+ Years.
Employment Type : Full-Time.
About the Role :
We are seeking a skilled Data Engineer with hands-on experience in Incorta, Google Cloud Platform (GCP), BigQuery, and SQL.
The ideal candidate will design and implement scalable data pipelines and analytical solutions to enable data-driven decision-making across the organization.
Key Responsibilities :
- Design, build, and maintain end-to-end data pipelines integrating diverse data sources into Incorta and BigQuery.
- Develop and optimize data models, schemas, and dashboards in Incorta to support business reporting and analytics.
- Implement data ingestion, transformation, and validation using SQL and GCP-native tools such as Dataflow, Cloud Composer (Airflow), Pub/Sub, and Cloud Storage.
- Build efficient ETL/ELT workflows ensuring data accuracy, quality, and reliability.
- Collaborate with cross-functional teamsdata analysts, business users, and product ownersto understand requirements and deliver solutions.
- Automate data refreshes, monitor data pipelines, and ensure high performance and availability of data systems.
- Support data governance, performance tuning, and security compliance across cloud environments.
Required Skills & Experience :
- Strong hands-on expertise in Incorta (schema design, ingestion, data modeling, dashboard/report development).
- Proficiency in SQL and Google BigQuery with experience in GCP Data Services.
- Solid understanding of data warehousing concepts, ETL/ELT design, and data modeling (Star/Snowflake).
- Working knowledge of Python or Shell scripting for automation and orchestration.
- Familiarity with GCP ecosystem tools : Dataflow, Cloud Composer, Pub/Sub, and Cloud Storage.
- Experience with Git and CI/CD practices for managing and deploying data pipelines.
- Excellent analytical, communication, and problem-solving skills.
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Posted in
Data Engineering
Functional Area
Data Engineering
Job Code
1562128
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