Job Description: Data Engineer (GCP | Python | Airflow | SQL | Looker Studio)

5+yrs of Exp

Role Summary

We are seeking a highly skilled Data Engineer to design, build, and manage scalable data platforms and pipelines on Google Cloud Platform (GCP). The role focuses on enabling data-driven decision-making by delivering robust data pipelines, optimized data models, and business-friendly visualizations.

Key Responsibilities
Data Pipeline Development & Engineering
Design, develop, and maintain scalable ETL/ELT pipelines using Python, SQL, and GCP tools
Build batch and real-time data processing workflows
Automate data pipelines using Apache Airflow (Cloud Composer) for orchestration
Cloud Data Platform Management (GCP)
Develop and manage data solutions using BigQuery, Cloud Storage, Dataflow, and Pub/Sub
Implement scalable data warehousing and lakehouse architectures
Monitor and optimize cloud infrastructure performance, reliability, and cost
Data Modeling & Transformation
Design and implement logical and physical data models
Perform data cleansing,



transformation, and aggregation for analytics readiness
Ensure high data quality, integrity, and consistency across systems [expertia.Ai]
Analytics & Visualization Enablement
Enable business insights through dashboards using Looker Studio / LookML
Collaborate with analysts and business teams to define reporting requirements
Translate data into actionable insights for decision-making
Collaboration & Stakeholder Engagement
Work closely with data scientists, analysts, and business stakeholders to gather requirements
Provide data platform support and resolve data-related issues
Communicate technical solutions effectively to non-technical stakeholders
Data Governance, Security & Compliance
Implement data governance, access control, and security best practices
Ensure compliance with data privacy regulations and enterprise policies
Continuous Improvement & Optimizatio

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