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
1. 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
2. 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
3. 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]
4. 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
5. 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
6. Data Governance, Security & Compliance
Implement data governance, access control, and security best practices
Ensure compliance with data privacy regulations and enterprise policies
7. Continuous Improvement & Optimization
Identify and implement performance optimizations across pipelines and databases
Introduce automation and best practices for DataOps and CI/CD
Stay updated with evolving GCP and data engineering technologies

Key Skills & Competencies
Technical Skills
Strong programming expertise in Python and SQL
Hands-on experience with Google Cloud Platform (BigQuery, Dataflow, Pub/Sub, Cloud Storage)
Workflow orchestration using Apache Airflow / Cloud Composer
Experience with ETL/ELT pipeline design and data warehousing
Visualization and reporting using Looker Studio / LookML
Functional & Process Skills
Strong understanding of data lifecycle (ingestion → transformation → analytics)
Expertise in data modeling, data integration, and pipeline optimization
Familiarity with Agile / DevOps practices in data engineering
Soft Skills
Robust analytical and problem-solving capabilities
Excellent communication and stakeholder management skills
Ability to work in cross-functional, global teams

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