: 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

- 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]

- 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

- 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

- 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

Solid analytical and problem-solving capabilities

Excellent communication and stakeholder management skills

Ability to work in cross-functional, global teams

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