???? ???? ?? ??? ??? ?? ??? ???????'? ???????

?????? ?????: ?? ?????? - ?? ??????? (?? ??? ?-?? ???)

Experience: 6+ yrs

Location: India

Job Type: Full-time

We are looking for an experienced GCP Data Engineer with strong expertise in Google Cloud, BigQuery, Dataflow, Apache Beam, Cloud Composer, Airflow, Python, SQL, data warehousing, and data modelling.

The role involves designing, developing, and maintaining scalable data platforms and pipelines that support analytics, reporting, business intelligence, and data-driven applications. The ideal candidate will have strong hands-on experience working with large datasets, cloud-native data engineering services, batch and streaming pipelines, and up-to-date data warehouse architectures.

You will work closely with data architects, analysts, software engineers, and business stakeholders to transform complex data requirements into reliable, scalable, and high-performance data solutions.

Requirements

Key Responsibilities
- Design, develop, and maintain scalable data pipelines on Google Cloud Platform (GCP).




- Build batch and streaming data pipelines using Dataflow and Apache Beam.
- Develop and optimize analytical solutions using Google BigQuery.
- Design and implement ETL/ELT processes for structured and semi-structured data.
- Develop reusable data processing frameworks using Python.
- Write complex and optimized SQL queries for data transformation, analysis, and validation.
- Build and manage workflow orchestration using Cloud Composer and Apache Airflow.
- Design DAGs, scheduling mechanisms, dependencies, retries, alerts, and error-handling workflows.
- Develop scalable data warehouse and data modelling solutions to support reporting and analytics.
- Design fact tables, dimension tables, data marts, schemas, and analytical data structures.
- Integrate data from databases, APIs, files, applications, and other enterprise data sources.
- Implement data validation, quality checks, reconciliation, and monitoring across pi

📌 GCP Data Engineer (Delhi)
🏢 Weekday AI
📍 Delhi