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.

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.

If you’re passionate about making a difference, love working in a fast-paced workplace, and want to help millions of travelers reach their destinations with a smile, Southwest Airlines is the place for you. Here, your career can truly take flight.

Job Summary The Data Lake 2.0 Pod builds the shared data foundation that powers analytics, AI, and machine learning across Southwest. Using modern cloud architectures and a DevOps mindset, the team creates scalable, reusable frameworks that help hundreds of application teams securely collect, store, and access enterprise data.

As a Data Engineer on the Data Lake 2.0 Pod, you'll build and support reliable data pipelines that deliver high‑quality, governed data across Southwest's enterprise data platform. Working alongside engineers in our Hyderabad and U.S. teams, you'll help improve platform scalability, automate processes, and apply modern cloud engineering practices to solve complex data challenges. This role offers the opportunity to deepen your AWS and data engineering expertise while helping teams across the Company unlock the value of data for analytics, AI, and business decision‑making.

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

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, without needing to diagnose or resolve the problem.

Ability to combine pieces of information to form general rules or conclusions (includes finding a relationship among seemingly unrelated events)

Ability to switch efficiently between multiple tasks or information sources, such as spoken instructions, system alerts, or data inputs.

Ability to organize data or actions in a defined sequence or structure based on specified rules or patterns (e.g., numerical, textual, visual, or mathematical sequences).

Ability to recognize defined patterns—such as shapes, words, or signals—even when they are embedded within distracting or complex information.

Education

Required: Bachelor's degree in Computer Science, Engineering, Information Systems or related field and/or equivalent formal training

Experience

Required: Intermediate level experience, fully functioning broad knowledge in:

Cloud infrastructure, DataLake

ETL experience ensuring source to target data integrity

Various filetypes (Delimited Text, Fixed Width, XML, JSON, Parque).

ServiceBus, setting up ingress and egress within a subscription, or relevant AWS Cloud services administrative experience.

Unit Testing, Code Quality tools, CI/CD Technologies, Security and Container Technologies

Agile development experience and Agile ceremonies and practices

2-5 years of relevant work-related experience

Other Qualifications

Must meet confidentiality expectations as to confidential, proprietary and sensitive Company information

Ability to work extended hours as needed

Southwest Airlines is an Equal Opportunity Employer.

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📌 Data Engineer - Data Lake (India)
🏢 Southwest Airlines
📍 India