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