Data Engineer - Data QA

swa; India; On-site; INR 1,500,000 - 2,600,000; Full time

Job summary

Southwest Airlines in India is seeking a Data Engineer to support data engineering and data analytics solutions with limited supervision. You will provide design guidance for end-to-end analytic solutions and coordinate with SWA-focused groups to build scalable data infrastructure and validate data quality.

The role focuses on turning assets and workflow metadata into actionable marketing data, building data pipelines, ETL using SQL/Python, and implementing data-quality frameworks across Content

Qualifications

• Experience assembling large, complex data sets meeting business requirements.
• Experience with AWS and SQL for data extraction, transformation and loading.
• Ability to build data pipelines and automated validation scripts.
• Familiarity with DAM, AEM and enterprise data warehouses a plus.

Responsibilities

• Assemble large, complex sets of data that meet business requirements.
• Design scalable data infrastructure and automate manual processes.
• Build data pipelines and ETL using SQL and Python.
• Validate metadata, taxonomy, and asset-related data across systems.
• Collaborate with data, design, product and executive teams to resolve issues.

Skills

Data engineering

Data analytics

Problem solving

Stakeholder collaboration

Tools

AWS

SQL

Python

Job description

Department: Technology

Our Company Promise

We are committed to provide our Employees a stable work environment with equal opportunity for learning and personal growth. Creativity and innovation are encouraged for improving the effectiveness of Southwest Airlines. Above all, Employees will be provided the same concern, respect, and caring attitude within the organization that they are expected to share externally with every Southwest Customer.

Job Description

About Us

At Southwest Airlines, we believe that flying should feel like freedom. For over 50 years, we've been connecting people to what matters most with low fares, legendary hospitality, and a heart for service. Our culture is built on the principles of fun, friendliness, and family, making us one of the most admired workplaces in the world.

Job Summary

Work with limited supervision to support data engineering and data analytics solutions. Provide design guidance and implementation for end-to-end analytic solutions. Coordinate with SWA focused groups to create unique data infrastructure, run tests on their designs to isolate errors and update systems to accommodate changes in company needs

As a Data Engineer - Data QA & Workflow Integration Testing, you'll sit at the intersection of creative assets and business outcomes, turning content taxonomy, DAM metadata, and workflow velocity into actionable marketing data and quality insights.

You'll work across enterprise-scale data ecosystems and MarTech schemas, using streaming asset event data and automated quality frameworks to improve Content Supply Chain measurement and reliability.

The role has direct impact on how marketing leadership measures Content Supply Chain efficiency, ROI, asset utilization, and content-driven outcomes across enterprise touchpoints.

Responsibilities

• Assemble large, complex sets of data that meet non-functional and functional business requirements
• Identify, design and implement internal process improvements including re-designing infrastructure for greater scalability, optimizing data delivery, and automating manual processes
• Build required infrastructure for optimal extraction, transformation and loading of data from various data sources using AWS and SQL technologies
• Build analytical tools to utilize the data pipeline, providing actionable insight into key business performance metrics including operational efficiency and customer acquisition
• Work with stakeholders including data, design, product and executive teams and assisting them with data-related technical issues
• Work with stakeholders including the Executive, Product, Data and Design teams to support their data infrastructure needs while assisting with data-related technical issues
• Generate or adapt equipment and technology to serve user needs
• May perform other job duties as directed by Employee's Leaders
• Build data pipelines that validate digital-asset metadata schemas, content taxonomy, asset performance, and workflow data.
• Use SQL and Python to develop automated validation scripts for metadata tagging and XDM/schema mappings across DAM, AEM, and enterprise data warehouses.
• Build and test ETL pipelines that aggregate asset-utilization, digital-rights-management, and campaign-enrichment data from batch and streaming sources.
• Implement data-quality frameworks that detect metadata drift, missing campaign tags, schema errors, and duplicate asset records.
• Audit asset-tracking models so content velocity, localization variants, and asset-attribution metrics reconcile across Workfront, publishing platforms, and reporting dashboards.
• Support data-quality, governance, and monitoring practices across Content Supply Chain workflows.
• Partner with MarTech, DAM, analytics, and platform teams to resolve data and workflow integration issues.
• Translate data quality findings into actionable improvements for downstream analytics and marketing reporting.

Knowledge, Skills and Abilities

• Knowledge of the practical application of engineering science and technology, including applying principles, techniques, procedures, and equipment to the design and production of various goods and services
• Knowledge of design techniques, tools, and principles involved in production of precision technical plans, blueprints, drawings, and models
• Ability to use logic and reasoning to identify the strengths and weaknesses of alternative solutions, conclusions or approaches to problems
• Ability to understand new information for both current and future problem-solving and decision-making
• Skilled in identifying complex problems and reviewing related information to develop and evaluate options and implement solutions
• Ability to recognize when an issue has occurred or is likely to occur, wit