SAN Engineering Solutions · Noida, India ·
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.
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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.
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