Gcp Data Engineer - Lead

Design, build,

Job Title: Data Engineer / Integration Engineer

Job Summary:

Data Engineer / Integration Engineer

Key Responsibilities:

• Design, build, and maintain scalable data pipelines and workflows.
• Develop and optimize ETL/ELT processes using Python and workflow automation tools.
• Implement and manage data integration between various systems, including APIs and Oracle EBS.
• Work with

  Google Cloud Platform (GCP) or Google BigQuery (GBQ)

  for data storage, processing, and analytics.
• Utilize Apache

  Spark or similar big data frameworks

  for efficient data processing.
• Develop robust API integrations for seamless data exchange between applications.
• Ensure data accuracy, consistency, and security across all systems.
• Monitor and troubleshoot data pipelines, identifying and resolving performance issues.
• Collaborate with data analysts, engineers, and business teams to align data solutions with business goals.
• Document data workflows, processes, and best practices for future reference.

Required Skills & Qualifications:

• Strong proficiency in

  Python

  for data engineering and workflow automation.
• Experience with

  workflow orchestration tools

  (e.g., Apache Airflow, Prefect, or similar).
• Hands-on experience with

  Google Cloud Platform (GCP) or Google BigQuery (GBQ)

  .
• Expertise in

  big data processing frameworks

  , such as

  Apache Spark

  .
• Experience with

  API integrations

  (REST, SOAP, GraphQL) and handling structured/unstructured data.
• Strong problem-solving skills and ability to optimize data pipelines for performance.
• Experience working in an

  agile environment

  with CI/CD processes.
• Strong communication and collaboration skills.

Preferred Skills & Nice-to-Have:

• Experience with

  Ascend.io

  platform for data pipeline automation.
• Knowledge of

  SQL

  and

  NoSQL databases

  .
• Familiarity with

  Docker and Kubernetes

  for containerized workloads.
• Exposure to

  machine learning workflows

  is a plus.

Why Join Us?

• Opportunity to work on cutting-edge data engineering projects.
• Collaborative and dynamic work environment.
• Competitive compensation and benefits.
• Professional growth opportunities with exposure to the latest technologies.

How to Apply: