Overview

Greetings from Tesslogs,

Responsibilities

• Design, develop, and maintain scalable data pipelines using GCP services.
• Build and manage workflow orchestration using Apache Airflow.
• Develop data ingestion and transformation pipelines from multiple data sources.
• Implement data warehousing solutions on GCP such as BigQuery.
• Create and optimize BI dashboards and reporting solutions for business stakeholders.
• Ensure data quality, reliability, and governance across data platforms.
• Collaborate with data analysts, BI teams, and business stakeholders to deliver actionable insights.
• Monitor and optimize data pipeline performance and cost efficiency in cloud environments.
• Implement CI/CD and automation for data workflows.
• Maintain documentation for data architecture, pipelines, and workflows.

Qualifications

• Location : Gurgaon
• Notice Period; Immediate / 30 Days
• Strong experience with Google Cloud Platform (GCP) services such as BigQuery, Cloud Storage, Dataflow, and Pub/Sub.
• Hands-on experience with Apache Airflow for workflow orchestration.
• Expertise in SQL and data modeling.
• Experience building ETL/ELT pipelines in cloud environments.
• Strong understanding of data warehousing and data lake architecture.
• Experience with BI reporting tools such as Power BI, Tableau, or Looker.
• Proficiency in Python or similar scripting languages for data engineering tasks.
• Knowledge of data governance, data quality, and monitoring frameworks.