Staff Data Engineer
Priceline (company site, opens in a new tab)8+ yrsMumbaiOn-siteDirect career pageEst. 35–55 LPA
Posted on 25 Sept
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Job description
Structured overview of role & requirements
About This Role
- Design, build, and evolve scalable, reliable data architectures and frameworks to support real-time personalization, marketing automation, and advanced analytics across Customer Growth.
- Lead complex technical trade-off analyses among competing technologies and methodologies, influencing multiple engineering squads and stakeholders.
- Define and promote engineering best practices, governance, security standards, and drive cross-portfolio collaboration with product, data science, and business teams to align data infrastructure with growth strategies.
Minimum Requirements
- Bachelor’s degree or higher in Computer Science or related field.
- 8+ years of experience designing and implementing distributed data processing systems using tools like Apache Spark, Flink, Kafka, or Delta Lake/Iceberg.
- Deep expertise in cloud platforms (AWS, GCP, or Azure) and data warehousing solutions such as Snowflake, BigQuery, or Databricks.
- Proficiency in Python, Scala, or Java and expert-level SQL skills.
Ideal Candidate Profile
- Experienced in building reusable data libraries and internal platforms that accelerate engineering development.
- Skilled in data modeling paradigms suitable for complex customer journeys (Data Vault, Kimball, Star Schema).
- Strong ability to communicate complex technical concepts to non-technical stakeholders and lead through influence rather than formal authority.