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GCP Data Engineer
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GCP Data Engineer

Deekshith K Naidu's profile picture
Posted by Deekshith K Naidu
5 - 12 yrs
₹5L - ₹35L / yr
Hyderabad
Skills
Google Cloud Platform (GCP)
Apache Airflow
ETL
skill iconPython
Big query
GBQ

Job Title: Data Engineer / Integration Engineer

 

Job Summary:

We are seeking a highly skilled Data Engineer / Integration Engineer to join our team. The ideal candidate will have expertise in Python, workflow orchestration, cloud platforms (GCP/Google BigQuery), big data frameworks (Apache Spark or similar), API integration, and Oracle EBS. The role involves designing, developing, and maintaining scalable data pipelines, integrating various systems, and ensuring data quality and consistency across platforms. Knowledge of Ascend.io is a plus.

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:

Interested candidates can apply by sending their resume to [your email/contact].

 

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About Estuate Software

Founded :
2005
Type :
Products & Services
Size :
100-1000
Stage :
Bootstrapped

About

Estuate is a global IT services company that offers innovative software solutions ranging from Product Engineering services to Subscription Billing and GRC to Digital Transformation. They help businesses thrive with their out-of-the-box tech solutions and expert consulting services. Estuate's IBM InfoSphere Optim Archive Viewer 11.7 is a powerful and intuitive solution for accessing and analyzing archived data, fully compatible with IBM’s Cloud Pack for Data technology stack. Estuate's software solutions aid organizations in managing data properly throughout its lifetime, allowing them to make informed decisions and stay compliant with industry regulations. Their IBM InfoSphere Optim Archive family of tools handles older data in active applications and retains data in retired applications for legal, regulatory, or analytical purposes. Industries in which Estuate operates include healthcare, finance, retail, and technology. They have a worldwide presence with operations in several parts of the world including Canada, India, and the UK.
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