Data Engineer - GCP, SQL,BiqQuery, Dataflow, Pub/Sub, Logging, IAM

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Job Description:

Job Description

We're seeking a talented Data Engineer with hands-on experience in the Google Cloud data ecosystem and a proven track record. You'll be instrumental in designing, building, and maintaining our data infrastructure and pipelines, enabling critical insights and supporting data-driven initiatives across the organization. 

Responsibilities

• Data Pipeline Development: Design, build, and optimize robust and scalable data pipelines to ingest, transform, and load data from various sources into our data warehouse and knowledge graphs. 

• Cloud Data Stack Expertise: Implement and manage data solutions using Google Cloud Platform (GCP) services such as BigQuery, Dataflow, Pub/Sub, Cloud Storage, Spanner and Dataproc and Azure Cloud Services  

• Knowledge Graph Engineering: Develop and maintain data models, ingest data, and create efficient queries within Neo4j and/or Stardog. Leverage your expertise to build and expand our enterprise knowledge graph. 

• Data Quality & Governance: Implement best practices for data quality, data validation, and data governance, ensuring data accuracy, consistency, and reliability. 

• Performance Optimization: Continuously monitor and optimize the performance of data pipelines and database queries, identifying and resolving bottlenecks. 

• Collaboration: Work closely with data scientists, analysts, and other engineering teams to understand data requirements and deliver effective data solutions. 

• Documentation: Create and maintain comprehensive documentation for data pipelines, data models, and knowledge graph schemas. 

Required Qualifications

Education:

Bachelor’s degree in computer science, Engineering, or a related quantitative field. 

Experience:  

• 5+ years of professional experience as a Data Engineer or in a similar role. 

• Strong hands-on experience with Google Cloud Platform (GCP) data services, including BigQuery, Dataflow, Pub/Sub, Cloud Storage, and Composer (Apache Airflow). 

• Proficiency in Python for data manipulation and pipeline orchestration. 

• Experience with SQL and data warehousing concepts. 

• Familiarity with data modeling techniques relational database

• Experience with version control systems (e.g., Git).

• Application Support

• Terraform or any other IaC tools

Preferred Qualifications

• Experience with other GCP services

• Knowledge of streaming data technologies (e.g., Kafka, Google Cloud Dataflow streaming). 

• Familiarity with data governance tools and principles. 

• Certifications in Google Cloud Platform data engineering. 

Employee Type:
 

Permanent

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