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Southwest Airlines
Tech Lead Data Engineer
Southwest Airlines
Hyderabad•On-site•8-11 Yrs•4 days ago
Job description
Overview
Department: Technology
Responsibilities
- Lead and develop the big data platform
- Design, build, implement, document and automate ingestion (real time and batch), enrichment and analytics data pipelines using big data tools and technologies
- 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
- Implement Big Data Solutions as a hands-on Technical Lead
- Process & ingest high volumes of data & transactions with full Life Cycle Implementation(s) of Scalable Big Data & Data Lake solutions
- 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 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 the implications of 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 engage in active, focused listening—accurately interpreting technical information, validating understanding through targeted questions, and maintaining appropriate communication flow.
- 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.
- Preferred:
- AWS core services and networking/security fundamentals — S3, Lake Formation, Glue, Athena, Redshift Spectrum, IAM
- IaC using Terraform or CloudFormation with reusable, multi-environment patterns
- Hands-on technical contribution — this Tech Lead role builds alongside setting direction
- Platform-as-a-product design where application teams consume and own their AWS environments
- Data ingestion patterns — S3 replication, AWS File Transfer, event-driven architectures
- Observability and operational excellence for data platforms (CloudWatch, logging, tracing)
- SRE mindset for a data platform — reliability, error budgets, cost efficiency
Qualifications
- Required: Expert level experience, expansive and far reaching knowledge in:
- Building and optimizing data sets, ‘big data’ data pipelines and architectures
- Performing root cause analysis on external and internal processes and data to identify opportunities for improvement and answer questions
- Excellent analytic skills associated with working on unstructured datasets
- Building processes that support data transformation, workload management, data structures, dependency and metadata
- 8-10 years of relevant work-related experience
- Preferred:
- End-to-end technical direction for an enterprise data lake or comparable data platform
- Hands-on AWS data platform development at enterprise scale
- Databricks or comparable lakehouse platform experience
- Lakehouse formats — Iceberg, Delta Lake, or Hudi
- Platforms serving analytics, ML, and AI workloads
- FinOps and cost optimization across AWS data services
- Data governance, semantic layer, metadata management, or business glossary
- Coaching engineers across a globally distributed team
- Cross-functional partnership with peer Tech Leads across Technology
- Technical leadership within a large enterprise data ecosystem
- Must meet confidentiality expectations as to confidential, proprietary and sensitive Company information
- Ability to work extended hours as needed
Education
- Required: Bachelor's degree in Computer Science, Engineering, Information Systems or related field and/or equivalent formal training