Principal Data Platform

Svitla Systems Inc. is looking for a Principal Data Platform Engineer for a full-time position (40 hours per week) in India. Our client is the world’s largest travel guidance platform, helping hundreds of millions each month become better travelers, from planning to booking to taking a trip. Travelers across the globe use the site and app to discover where to stay, what to do, and where to eat based on guidance from those who have been there before. With more than 1 billion reviews and opinions and opinions of nearly 8 million businesses, travelers turn to clients to find deals on accommodations, book experiences, and reserve tables at delicious restaurants. They discover great places nearby as a travel guide company available in 43 markets and 22 languages. The client’s data engineering team is focused on delivering first-in-class data products that serve all data users across the organization. As a member of the Data Platform Enterprise Services Team, you will collaborate with engineering and business stakeholders to build, optimize, maintain, and secure the complete data vertical, including tracking instrumentation, information architecture, ETL pipelines, and tooling that provide crucial analytics insights for business-critical decisions at the highest levels of Product, Finance, Sales, CRM, Marketing, Data Science, and more, all in a dynamic environment of continuously modernizing tech stack, including highly scalable architecture, cloud-based infrastructure, and real-time responsiveness.- Requirements:

- 8+ years experience in commercial software development.
- Experience directing and delegating 4+ engineers for 2 or more years with a proven record of driving multiple projects to successful and timely completion.
- Bachelor’s degree in Computer Science or related field.
- Experience with big data technologies such as Snowflake, Databricks, and PySpark.
- Expertise in writing and optimizing complex SQL.
- Expertise in complex data modeling and ETL/ELT design, including defining SLAs, performance measurements, tuning, and monitoring.
- Understanding of building/operating highly available, distributed systems of data extraction, ingestion, and processing large data sets.
- Demonstrated efficiency in treating data: data lineage, data quality, data observability, and data discoverability.
- In-depth and hands-on knowledge of the modern AWS Data Ecosystem, including AWS Glue, AWS Athena, AWS S3, and AWS Lambda.
- Knowledge of relational and NoSQL databases.
- Experience with programming languages such as Python, Java, and/or Scala.
- Proficiency in Linux command line and systems administration.
- Knowledge of cloud data warehouse concepts.
- Communication/people skills
- Excellent verbal and written communication skills. Interpersonal skills and ability to convey key insights from complex analyses in summarized business terms.
- Ability to effectively communicate with technical teams.
Will be a plus:

- Experience in building and operating data pipelines and products in compliance with the data mesh philosophy would be beneficial.
Responsibilities:

- Provide the organization’s data consumers with high-quality data sets by data curation, consolidation, and manipulation from various large-scale (terabyte and growing) sources.
- Build first-class data products and ETL processes that interact with terabytes of data on leading platforms such as Snowflake and BigQuery.
- Develop and improve foundational datasets by creating efficient and scalable data models across the organization.
- Work with the Data Science, Analytics, CRM, And Machine Learning Teams.
- Be responsible for the data pipelines’ SLA and dependency management.
- Write technical documentation for data solutions and present it at design reviews.
- Solve data pipeline failure events and implement anomaly detection.
- Work with various teams, from data science to product owners and front-end developers, on tracking solutions and solving technical challenges.
We Offer:

- US and EU projects based on advanced technologies.
- Competitive compensation based on skills and experience.
- Annual performance appraisals.
- Remote-friendly culture and no micromanagement.
- Bonuses for recommendations of new employees.
- Bonuses for article writing, public talks, other activities.
- 15 PTO days, 10 national holidays.
- Free webinars, meetups and conferences organized by Svitla.
- Fun corporate celebrations and activities.
- Awesome team, friendly and supportive community
About Svitla:

Svitla Systems is a global trusted IT solutions company headquartered in California, with business and development offices throughout the US, Latin America, Europe, and Asia. Svitla is an outspoken advocate of workplace flexibility, best known for its well-established remote culture, individual approach to our teammate’s professional and personal growth, and family-like environment.

Since 2003, Svitla has served a wide range of clients, from innovative start-ups in