: 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

- Solid 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

- Strong analytical and problem-solving capabilities
- Excellent communication and stakeholder management skills
- Ability to work in cross-functional, global teams

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