Data Pipeline Specialist

2 days ago


Hyderabad, Telangana, India beBeeEtalizer Full time ₹ 15,00,000 - ₹ 25,00,000
ETL Developer

We are seeking a highly skilled ETL developer to design, develop and optimize complex ETL workflows to support enterprise data integration and analytics.

Key Responsibilities:

  • Design, develop, and maintain ETL mappings, workflows, and sessions using Informatica PowerCenter.
  • Implement and optimize Informatica Cloud (IICS) pipelines for cloud-based integration scenarios.
  • Perform data extraction, transformation, and loading across multiple heterogeneous data sources.
  • Write efficient SQL queries, stored procedures, and performance-tuned scripts.
  • Manage data quality, validation, reconciliation, and error handling within ETL processes.
  • Automate and schedule ETL workflows using Tidal, TWS, or equivalent scheduling tools.
  • Collaborate with data architects, BI teams, and business stakeholders to deliver reliable data solutions.
  • Deploy, monitor, and troubleshoot ETL jobs in Unix/Linux environments.
  • Work with AWS services (e.g., S3, Redshift, RDS, EC2, Lambda) to support cloud-based ETL and data pipelines.
  • Ensure data governance, compliance, and security standards are followed.

Requirements:

  • 5-7 years of ETL development experience with strong expertise in:
  • Informatica PowerCenter (mappings, transformations, workflows).
  • Informatica Cloud (IICS) application integration and data integration.
  • Strong Unix/Linux scripting skills for automation and job control.
  • Proficiency in SQL, PL/SQL, and experience with relational databases (Oracle, SQL Server, etc.).
  • Good understanding of ETL performance tuning and optimization techniques.
  • Familiarity with data warehousing concepts, star schema, and dimensional modeling.

Desirable Skills:

  • Exposure to AWS cloud services (S3, Redshift, RDS, Glue, etc.).
  • Experience with job scheduling tools like Tidal or TWS.
  • Knowledge of Agile methodologies, CI/CD pipelines, and Git-based version control.
  • Understanding of data governance, security, and compliance frameworks.


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