Data Engineer 

Job Description

Responsibilities

Experience

• 6+ years of experience in GCP Data Engineering, ETL/ELT, Analytics Engineering, Data Warehouse Development, or Big Data ecosystems.
• Minimum 4+ years of hands-on experience with GCP Data Services.

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Must-Have Skills

• Strong expertise in SQL and Python.
• Hands-on experience with BigQuery, including datasets, tables, views, partitioning, clustering, query optimization, and cost management.
• Experience building batch and streaming pipelines using Dataflow / Apache Beam.
• Strong Spark/PySpark experience on Dataproc or equivalent big data platforms.
• Experience with Pub/Sub or similar event-streaming technologies.
• Expertise in Cloud Composer (Airflow) for workflow orchestration.
• Strong understanding of data modeling, data warehousing, and performance optimization.
• Experience in ETL/ELT design, development, and production support.
• Knowledge of data quality checks, reconciliation, schema validation, monitoring, alerting, retries, and backfills.
• Experience with CI/CD pipelines, Git, and deployment automation.
• Strong troubleshooting and problem-solving skills in production environments.

Good-to-Have Skills

• Experience with Google Vertex AI, Generative AI, MLOps, or AI-powered data solutions.
• Dataform or dbt.
• BigQuery ML.
• Dataflow Templates.
• Looker / LookML.
• Terraform and Infrastructure as Code (IaC).
• Experience with Databricks, EMR, or other cloud-native data platforms.

Are you interested in this position?
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