Talend Data Engineer

5 years

0 Lacs

Posted:1 day ago| Platform: Linkedin logo

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Work Mode

Remote

Job Type

Full Time

Job Description

Introduction & Summary

We are seeking a highly motivated and creative

Talend Data Engineer

to enhance our in-house R&I solution for centralizing experimental data and generating outputs that support researcher analysis, particularly across Reporting, BI, and AI. This role requires a combination of strong SQL capabilities and proficient experience with the Talend platform, alongside the ability to collaborate within Agile squads and external partners.

Main Responsibilities

As a Talend Data Engineer, you will play a vital role in developing cohesive, end-to-end data ingestion and ETL solutions.
  • Design, develop, and support Talend data pipelines, warehouses, and reporting systems.
  • Analyze business requirements and propose technical solutions.
  • Design data models and optimize tables/views in BigQuery using SQL.
  • Contribute to solution architecture by proposing new design patterns and technologies.
  • Ensure data security across all application layers.
  • Collaborate on development best practices (e.g., source control, coding standards).
  • Own full implementation including code quality, testing, monitoring, and performance.

Key Requirements

  • Bachelor’s or Master’s degree in Computer Science or related field.
  • 5+ years of experience as a Data Engineer.
  • Strong SQL skills (DDL, DML) and optimization experience.
  • Proven expertise with Talend platform and Google Cloud Platform (BigQuery).
  • Experience with Agile and DevOps methodologies.
  • Proficiency in JIRA and Confluence.
  • Strong troubleshooting, analytical, and communication skills.
  • Familiarity with Git or other version control systems.

Nice to Have

  • Experience in the chemical industry.
  • Familiarity with industry-specific regulations and standards.
  • Experience with Microsoft Azure Platform.

Other Details

This position offers the opportunity to work with a dynamic team focused on research and innovation in a collaborative environment. The role may involve remote work arrangements, providing flexibility in your working schedule.

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