Responsibilities

- Design scalable data platforms and pipelines on GCP.

- Build batch, incremental, and streaming data pipelines.

- Develop and optimize transformations using BigQuery, SQL, and Dataform/dbt.

- Build reusable, metadata-driven data-processing frameworks.

- Develop distributed processing solutions using Dataflow, Beam, and Spark.

- Define data models, schemas, and data quality standards.

- Optimize performance, reliability, and cloud costs.

- Lead code reviews and guide engineers on technical decisions.

- Own solutions from design through deployment and production support.

Requirements

- Experience building enterprise-scale data platforms.

- Robust hands-on experience with GCP and BigQuery.

- Advanced SQL and Python skills.





- Experience with Dataform/dbt and Cloud Composer/Apache Airflow.

- Hands-on experience with Dataflow/Apache Beam and Dataproc/Spark.

- Strong understanding of batch, incremental, and streaming processing.

- Experience building reusable, metadata-driven frameworks.

- Expertise in data modeling, data contracts, and schema management.

- Knowledge of data quality, lineage, monitoring, and observability.

- Experience with Git, automated testing, and CI/CD.

- Strong architectural decision-making and problem-solving skills.

📌 Senior Data Engineer (Gurugram)
🏢 Recruito
📍 Gurugram