Mid Data Engineer

SUMMARY:
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POSITION INFO:

Mid-Level Data Engineer

Job Description: We are looking for a skilled Data Engineer to join our team. The ideal candidate should have experience in designing, building, and maintaining scalable data pipelines and data infrastructure on GCP.

Responsibilities:

• Design, develop and maintain data pipelines and data infrastructure on GCP.
• Collaborate with Data Scientists, Data Analysts, and other cross-functional teams to identify and solve complex data challenges.
• Develop and maintain ETL processes, including data ingestion, transformation, and loading of structured and unstructured data.
• Develop and maintain data models and data architecture on GCP.
• Work with DevOps teams to ensure the proper deployment of data pipelines and data infrastructure.
• Perform code reviews, testing, and debugging to ensure high-quality deliverables.
• Participate in the design and implementation of data security and compliance frameworks.

Requirements:

• At least 3-5 years of experience as a Data Engineer.
• Experience in building data pipelines and data infrastructure on GCP (Google Cloud Platform) is highly advantageous.
• Experience with Python, SQL, and/or other programming languages for data processing and analysis.
• Strong knowledge of data modeling and data architecture.
• Experience with data integration technologies such as Kafka, Airflow, or Google Cloud Dataflow.
• Familiarity with data warehousing and data lake architectures on GCP.
• Experience with DevOps and cloud infrastructure management tools such as Terraform, Kubernetes, or Docker.
• Strong communication and collaboration skills.
• Bachelor's or Master's degree in Computer Science, Data Science, or a related field.

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