6 days ago
Mumbai, IndiaMid Level
Responsibilities
- Participate in cloud migration and modernize existing data systems.
- Oversee data systems processing millions of events daily.
- Design and maintain early-warning and analytics systems using big data technologies.
- Build software that collects and queries data and compose queries for investigations.
- Analyze data and provide recommendations to improve product performance and customer acquisition.
- Diagnose and troubleshoot data infrastructure and processing issues.
- Build and manage large-scale data processing pipelines and complex workflows.
- Collaborate with the team and mentor junior team members.
Requirements
- Bachelor’s degree in Computer Science or a related field.
- At least four years of experience in software engineering and development, focused on big data technologies and data-driven solutions.
- Expertise with big data solutions including Apache Spark and Kafka.
- Advanced knowledge of data modeling and schema design.
- Strong database experience with Cloud SQL, MySQL, PostgreSQL, BigQuery, and Oracle.
- Extensive experience with Google Cloud Platform tools, particularly Dataflow and Dataproc.
- Proficiency with Apache Airflow for data orchestration.
- Proficiency in Python, Java, or Scala.
- Ability to analyze, debug, and resolve data processing issues.
- Familiarity with indexing, machine-learned ranking algorithms, clustering, and distributed computing concepts.
- Experience with Informatica, such as PowerCenter, is a plus.
- Experience with Tableau is a plus.
- Experience with GitHub, GitHub Actions, Jenkins, and Maven.
- Demonstrated integrity, ethics, collaboration, accountability, innovation, and customer focus.
Benefits
- Hybrid work model with two days in the office and the remaining days remote or in the office.
- Medical, dental, vision, and mental health coverage.
- Paid time off, holidays, a company-wide reset week, and paid volunteer days.
- Up to four weeks of work from anywhere per year, parental leave, dependent care, family support, Summer Fridays, stocked kitchens, and catered meals, varying by location.
- Retirement plans with company contributions, life and disability coverage, and tax-advantaged accounts.
- Employee discounts on hotels and flights, VIP deals, and Big Deal Bucks travel credits.
- Travel and partner discounts, tuition support, legal support, and pet benefits.
- Employee Resource Groups, social events, recognition programs, and service awards.
Tech Stack
Apache AirflowApache KafkaApache SparkGitHub ActionsGoogle BigQueryGoogle Cloud PlatformInformaticaJavaJenkinsMavenMySQLPostgreSQLPythonScala
Categories
Data Engineering
About Priceline
Priceline operates an online travel booking platform where consumers reserve hotels, flights, rental cars, and vacation packages. Its business model combines merchant and agency arrangements, earning commissions and fees on travel reservations. Founded in 1998 and headquartered in Norwalk, Connecticut, Priceline is a brand within Booking Holdings Inc. (NASDAQ: BKNG).