Data Pipeline Architect

6 days ago


Palakkad, Kerala, India beBeeETLDeveloper Full time ₹ 1,50,00,000 - ₹ 2,00,00,000

We are seeking a skilled professional to fill the role of an ETL Specialist with expertise in designing and optimizing complex data pipelines using Talend Open Studio.

Key qualifications for this position include 8 to 10 years of experience working with large datasets, proficiency in SQL and Python programming languages, as well as hands-on experience with cloud-based data storage solutions such as BigQuery and Google Cloud Storage.

The ideal candidate will possess strong analytical and problem-solving skills, be able to work independently, and have excellent communication and collaboration skills.

The selected candidate will be responsible for designing, developing, and deploying ETL pipelines using Talend Open Studio, as well as troubleshooting and debugging issues that may arise.

This is a remote contract position with a duration of 3 months. We are open to candidates from all over the world and offer a competitive compensation package.

  • Role: ETL Developer
  • Experience: 8-10 years
  • Work Timings: Flexible (remote)
  • Duration: 3 Months (Contract)

Mandatory Requirements:

  • Talend Data Integration: Design and optimize complex ETL pipelines, debugging, and deployment using TMC
  • BigQuery: Partitioning, clustering, federated queries, advanced SQL (CTEs, arrays, window functions)
  • Python: ETL scripting, automation, and integration with cloud data pipelines
  • PostgreSQL: PL/pgSQL functions, triggers, query optimization, materialized views
  • Cloud (GCP): Hands-on experience with Pub/Sub, Dataflow, Dataprep, and Google Cloud Storage
  • Version Control: Proficiency in Git/GitHub workflows with branching, PR reviews, and CI/CD using Jenkins

Nice to Have:

  • BigQuery ML: Experience with regression, classification, forecasting
  • Performance Optimization: Exposure to advanced performance optimization for BigQuery slots and reservations
  • Data Integration: Familiarity with offline-first data solutions and advanced integration strategies


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