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SAN Engineering Solutions

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Data Engineer

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Summary

Data Engineer in Noida designing, building, and optimizing large-scale data pipelines on Google Cloud Platform. Core stack is BigQuery and SQL with Python/PySpark, plus DBT or Airflow/Dataflow/Dataproc depending on the skill combination.

We are hiring – Data Engineer


We are looking for experienced Data Engineers with strong hands-on expertise in Google Cloud Platform, BigQuery, SQL, Python/PySpark, and modern data engineering tools.


Position: Data Engineer

Location: Noida

Experience: 5–12 Years

⏳ Notice Period: Upto Nov 3rd week

Interview: F2F on 26th September

Work Location: Noida


Mandatory Skills


Candidates should have strong experience in BigQuery + SQL along with either of the following skill combinations:


Option 1:

• BigQuery

• SQL

• Python / PySpark

• DBT


OR


Option 2:

• BigQuery

• SQL

• Airflow

• Dataflow

• Dataproc

• Python / PySpark


🛠️ Key Responsibilities


• Design, develop, and maintain scalable data pipelines on Google Cloud Platform.

• Develop and optimize complex #SQL queries and #BigQuery workloads.

• Build data processing solutions using #Python / #PySpark.

• Develop and manage ETL/ELT pipelines for large-scale data processing.

• Work with #DBT for data transformation and modeling, where applicable.

• Build and manage workflows using #Apache Airflow.

• Work with GCP services such as #Dataflow and #Dataproc for distributed data processing.

• Perform data validation, quality checks, troubleshooting, and performance optimization.

• Collaborate with data analysts, architects, and other engineering teams to deliver reliable data solutions.

• Follow best practices for data security, scalability, monitoring, and maintainability.


Skills

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See also

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