: 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 - Solid 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

📌 ETL Pipeline Developer (Bengaluru)
🏢 Tata Consultancy Services
📍 Bengaluru