Senior Specialist -ETL Testing (H)

Advance Career Solutions; Hyderabad; Hybride; INR 900 000 - 1 300 000; Plein temps

Résumé du poste

Advance Career Solutions is seeking a data engineer to lead the design and development of end-to-end ETL workflows in Hyderabad. The role emphasizes strong Python scripting, data integration, and automation to meet business requirements. You will ensure governance and quality across data pipelines.

The ideal candidate will mentor junior engineers, drive performance improvements, and collaborate with cross-functional teams to deliver reliable data solutions in a fast-paced environment.

Qualifications

• Experience designing ETL pipelines and architectures across data sources.
• Proficient in Python for data manipulation, scripting, and automation.
• Strong understanding of data quality standards and governance, including CDP concepts.

Responsabilités

• Lead the design and development of end-to-end ETL workflows aligned with business requirements.
• Enforce data governance standards, code reviews, and data quality across systems.
• Monitor, troubleshoot, and optimize data pipeline performance.
• Mentor junior team members and collaborate with cross-functional data engineering teams.

Connaissances

ETL design

Python scripting

Data governance

Description du poste

Core Key Skills Required:

• ETL Pipeline & Architecture: Design, optimization, and testing of extraction, transformation, and loading workflows across complex data sources.
• Python Slicing & Automation: Strong proficiency in Python for data manipulation, scripting, integration, and process automation.
• Data Quality & Governance: Deep understanding of data consistency, integrity checks, and Customer Data Platform (CDP) principles.

Key Responsibilities:

• Lead the design and development of end-to-end ETL workflows aligned with business requirements.
• Enforce data governance standards, code reviews, and optimal data quality across systems.
• Monitor, troubleshoot, and optimize data pipeline performance.
• Mentor junior team members and collaborate with cross-functional data engineering teams.