Expedia Hiring for Senior Data Engineer at   Gurgaon Full Time

About DPE Team in Expedia

Are you fascinated by data and building robust data pipelines which process massive amounts of data at scale and speed to provide crucial insights to the end customer? This is exactly what we, the Data Product Engineering (DPE) group in Expedia, do. Our mission is ‘transforming Expedia’s lodging data assets into Data Products that deliver intelligence and real-time insights for our customers’. We work on building data assets and products to support a variety of applications which are used by 1000+ market managers, analysts, and external hotel partners. Expedia is committed to crafting an inclusive work environment with a diverse workforce.

Key Responsibilities

We are looking for a Sr Data Engineer to join the Competitive Intelligence Data Engineering team in Gurgaon. Our team has built and maintains a streaming analytics system which provides rate and availability competitiveness metrics for marketing and data science teams as well as suppliers (hotel partners). Come, join us to power the marketing intelligence data needs of all applications in the multiple line of business. All qualified applicants will receive consideration for employment without regard to race, religion, gender, sexual orientation, national origin, disability or age.

What you’ll do:

Collaboration:

• You will extend outside of direct organization and collaborate with peers across a senior level organization.
• You will lead a community of practice and bring people together for shared learning.
• You will partner with the business to have a clear understanding of how own technology stack is tied to business outcomes and our bottom line.

Leadership & Mentoring:

• You will share domain and industry knowledge between cross-functional teams.
• You will serve as a guide to others by sharing and helping junior associates in their duties and demonstrate positive impact and leadership outside immediate team scope.
• You will fill in for peer engineering management as need arises and advocate efforts to remove tech roadblocks for their team for long term success.

Systems & technological integration:

• You will have knowledge of features and facilities for integration, and communication among applications, databases and technology platforms to bring together different components and form a fully functional solution to a business problem.
• You will have proven ability, experience and advanced knowledge of building and operating highly available, distributed systems of data extraction, ingestion, and processing of large data sets.

Software development/ programming:

• You will creatively test and maintains software applications and related programs and procedures by using a variety of software development tools following design requirements of customer.
• You will act as a spokesperson for software design best practices and will advise on designing, performance/scalability tuning of batch and real time stream analytics and large data processing systems.
• You will research and recommend frameworks and architectural/code design patterns for large scale data processing in a scalable distributed environment and identify areas of improvements within the code and suggests solutions.
• You will advocate for operational excellence (such as unit testing, establishing SLAs, programming for resiliency and scalability).
• You will advise on technical limitations of software design for products and provides alternative solutions.

Systems Thinking:

• You will facilitate collaboration with different stakeholders with varied perspectives to develop effective solutions to issues.
• You will strive for optimum organizational efficiency by applying systems thinking across boundaries and making recommendations about policies/ processes.
• You will take a whole systems approach to analyze issues and implement holistic solutions by ensuring that linkages between structure, people, process and technology are made.

Innovation:

• You will recognize outmoded methods of operation with current systems and design plans for disrupting them in a non-disruptive manner.
• You will design and lead advancements, innovations and changes in current solution designs relating to latest advancements in software engineering (specifically related to data engineering, cloud data platforms, data models, enterprise information management, business intelligence and data science).
• Technical communication/ presentation:
• You will report on status of difficult or high-level projects to local tech leadership via written or oral means. Ensures documentation is complete.
• You will justify technology choices to both technical and non-technical observers.
• You will share technology learnings and best practices across engineering community in organization.

Who you are:

• Bachelor’s, Master’s, or Equivalent Experience; Technical degree or relevant experience is applicable.
• Relevant experience includes:
• Experienced in working in at least 2 multi-quarter data engineering projects primarily in Java/Scala etc.
• Worked in decentralized teams and projects.
• Formally mentored at least 3 individual contributors.
• Built high performance, scalable data products in Streaming and Batch paradigm preferably in Kafka, Spark, SQL etc.
• Drove technical design end to end of at least 3 data engineering projects.
• Initiated, socialized and executed upon at least 3 non-trivial changes that benefited the larger engineering community.
• You have a good understanding of organizational strategy, architecture patterns and technology choices and coaching the team in execution in alignment to these guidelines.
• You have a good understanding of data modeling, schema design patterns and modern data access patterns (including API, stream, data lake). You can coach the team to execution against industry and organizational best practices and standards.
• You are familiar with various cloud technologies and their offerings within the data specialization.
• You have guided integrations across teams within business unit.
• You can independently design, communicate and execute on architecture for moderately complex data products.
• You can identify and advocate for project quality via testing, monitoring and alerting at the project level.
• You have a strong understanding of testing and monitoring tools and technologies.
• You can establish operational excellence metrics at the team level.
• You influence and contribute to product vision for the team.
• You understand data access patterns, streaming technology, data validation, data modeling, data performance, cost optimization.