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Data Engineer

valtech.com Logo

Valtech

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Location:
India , Bengaluru

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Category:
IT - Software Development

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Contract Type:
Not provided

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Salary:

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Job Description:

At Valtech, we don’t just talk about transformation. We make it happen. Our people are the heart of our success, and we foster a workplace where everyone has the support to thrive, grow and innovate.

Job Responsibility:

  • Design and build data pipelines: Develop scalable Extract, Transform, Load (ETL) and Extract, Load, Transform (ELT) workflows for batch and streaming data processing.
  • Manage data infrastructure: Maintain and optimize data storage solutions, such as data lakes (Cloud Storage) and data warehouses (BigQuery), to ensure scalability, performance, and reliability.
  • Ensure data quality: Implement processes to guarantee the accuracy, integrity, and security of data throughout its lifecycle.
  • Collaborate with teams: Work closely with data scientists, analysts, and software engineers to understand their data needs and deliver robust data solutions.
  • Support machine learning: Operationalize machine learning models by building and maintaining the data pipelines that feed and integrate with Google's Vertex AI platform.
  • Automate processes: Implement automation for manual data tasks and workflows to improve efficiency.
  • Troubleshoot issues: Monitor and debug data systems and pipelines to ensure uninterrupted data delivery.

Requirements:

  • Education: A Bachelor's or Master's degree in Computer Science, Engineering, or a related technical field is typically required.
  • Minimum 3 + Years of experience as a Data Engineer.
  • Programming expertise: Proficiency in Python, SQL, and other languages like Java or Scala is common.
  • GCP technologies: Hands-on experience with core GCP services is essential. Key services include: Data Processing: Dataflow, Dataproc, and Pub/Sub. Storage and Warehousing: BigQuery, Cloud Storage, and Cloud SQL. Orchestration: Cloud Composer (powered by Apache Airflow).
  • Data fundamentals: Deep understanding of data modeling, data warehousing, and distributed systems.
  • Big Data technologies: Experience with open-source tools like Apache Spark or Apache Beam.
  • Testing and DevOps: Familiarity with CI/CD pipelines (e.g., Cloud Build), Git, and automated testing.
  • Analytical skills: Strong problem-solving and analytical thinking abilities.
  • Communication: Excellent communication skills to explain complex technical concepts to both technical and non-technical stakeholders.
  • Certification (preferred): A Google Cloud Professional Data Engineer certification can boost a candidate's profile

Nice to have:

  • Experienced in Agile methodologies and consulting (a plus)
  • Certification (preferred): A Google Cloud Professional Data Engineer certification can boost a candidate's profile
What we offer:
  • Flexibility, with hybrid work options (country-dependent)
  • Learning and development, with access to cutting-edge tools, training and industry experts.

Additional Information:

Job Posted:
April 27, 2026

Employment Type:
Fulltime
Work Type:
Hybrid work
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