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GCP Data Engineer
GCP Data Engineer
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GCP Data Engineer

Gobinath Sundaram's profile picture
Posted by Gobinath Sundaram
5 - 10 yrs
₹5L - ₹10L / yr
Chennai, Bengaluru (Bangalore), Hyderabad
Skills
Google Cloud Platform (GCP)
Teradata
ETL
Datawarehousing

Overview:

We are seeking a talented and experienced GCP Data Engineer with strong expertise in Teradata, ETL, and Data Warehousing to join our team. As a key member of our Data Engineering team, you will play a critical role in developing and maintaining data pipelines, optimizing ETL processes, and managing large-scale data warehouses on the Google Cloud Platform (GCP).

Responsibilities:

  • Design, implement, and maintain scalable ETL pipelines on GCP (Google Cloud Platform).
  • Develop and manage data warehouse solutions using Teradata and cloud-based technologies (BigQuery, Cloud Storage, etc.).
  • Build and optimize high-performance data pipelines for real-time and batch data processing.
  • Integrate, transform, and load large datasets into GCP-based data lakes and data warehouses.
  • Collaborate with data scientists, analysts, and other stakeholders to understand data requirements and deliver solutions.
  • Write efficient, clean, and reusable code for ETL processes and data workflows.
  • Ensure data quality, consistency, and integrity across all pipelines and storage solutions.
  • Implement data governance practices and ensure security and compliance of data processes.
  • Monitor and troubleshoot data pipeline performance and resolve issues proactively.
  • Participate in the design and implementation of scalable data architectures using GCP services like BigQuery, Cloud Dataflow, and Cloud Pub/Sub.
  • Optimize and automate data workflows for continuous improvement.
  • Maintain up-to-date documentation of data pipeline architectures and processes.

Requirements:

Technical Skills:

  • Google Cloud Platform (GCP): Extensive experience with BigQuery, Cloud Storage, Cloud Dataflow, and Cloud Composer.
  • ETL Tools: Expertise in building ETL pipelines using tools such as Apache NiFi, Apache Beam, or custom Python-based scripts.
  • Data Warehousing: Strong experience working with Teradata for data warehousing, including data modeling, schema design, and performance tuning.
  • SQL: Advanced proficiency in SQL and relational databases, particularly in the context of Teradata and GCP environments.
  • Programming: Proficient in Python, Java, or Scala for building and automating data processes.
  • Data Architecture: Knowledge of best practices in designing scalable data architectures for both structured and unstructured data.

Experience:

  • Proven experience as a Data Engineer, with a focus on building and managing ETL pipelines and data warehouse solutions.
  • Hands-on experience in data modeling and working with complex, high-volume data in a cloud-based environment.
  • Experience with data migration from on-premises to cloud environments (Teradata to GCP).
  • Familiarity with Data Lake concepts and technologies.
  • Experience with version control systems like Git and working in Agile environments.
  • Knowledge of CI/CD and automation processes in data engineering.

Soft Skills:

  • Strong problem-solving and troubleshooting skills.
  • Excellent communication skills, both verbal and written, for interacting with technical and non-technical teams.
  • Ability to work collaboratively in a fast-paced, cross-functional team environment.
  • Strong attention to detail and ability to prioritize tasks.

Preferred Qualifications:

  • Experience with other GCP tools such as Dataproc, Bigtable, Cloud Functions.
  • Knowledge of Terraform or similar infrastructure-as-code tools for managing cloud resources.
  • Familiarity with data governance frameworks and data privacy regulations.
  • Certifications in Google Cloud or Teradata are a plus.

Benefits:

  • Competitive salary and performance-based bonuses.
  • Health, dental, and vision insurance.
  • 401(k) with company matching.
  • Paid time off and flexible work schedules.
  • Opportunities for professional growth and development.


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Full Stack Developer - Averlon
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About VyTCDC

Founded :
2002
Type :
Services
Size :
20-100
Stage :
Profitable

About

N/A

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