Data Engineer

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

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