Experience: 6.00 + years
Salary: INR 6666400.00 / year (based on experience)
Expected Notice Period: 15 Days
Shift: (GMT+05:30) Asia/Kolkata (IST)
Opportunity Type: Remote
Placement Type: Full Time Permanent position(Payroll and Compliance to be managed by: Kaamwork)
(*Note: This is a requirement for one of Uplers client - TripAdvisor)
What do you need for this opportunity
Must have skills required:
Airflow, Data privacy regulations, Glue, Jira, Lambda, Looker Studio, Matillion, role-based access controls, S3, Streamlit, Complex SQL Queries, Data Visualization, DBT, ETL/ELT, Snowflake, AWS, Azure, GCP, Git, Java, Python
TripAdvisor is Looking for:
Who We Are
We believe that we are better together, and at Tripadvisor we welcome you for who you are. Our workplace is for everyone, as is our people powered platform. At Tripadvisor, we want you to bring your unique perspective and experiences, so we can collectively revolutionize travel and together find the good out there.
Tripadvisor, the world's largest travel site, operates at scale with over 500 million reviews, opinions, photos, and videos reaching over 390 million unique visitors each month. We are a data driven company that leverages our data to empower our decisions. Tripadvisor is extremely excited to play a pivotal role in supporting our travelers.
Our data engineering team is focused on delivering Tripadvisor's 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 full data vertical including tracking instrumentation, information architecture, ETL pipelines, and tooling that provide key 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.
Tripadvisor provides a unique, global work environment that captures the speed, innovation and excitement of a startup, at a thriving, growing and well-established industry brand. We take pride in our data engineering and are looking for a talented and highly-motivated engineer with a passion for solving interesting problems to add to our high-performing team.
What You'll Do
- Develop robust and scalable data models that support analytics, data science, reporting and other data workflows. Ensure data models adhere to best practices for maintainability, performance, and security.
- Design, build and maintain the semantic layer in our cloud-native warehouse that enables self-service analytics and data democratization. Create reusable, business-friendly data abstractions that empower stakeholders across the organization.
- Identify opportunities to leverage new data technologies and methodologies. Collaborate with cross-functional teams to prototype, test, and implement innovative data solutions that enhance data quality, accessibility, and usability.
- Design, implement, and maintain automated orchestration of our data workflows that support transformation across several layers in our warehouse, ensuring data integrity and data availability while optimizing for performance at scale.
- Partner closely with data analysts, data scientists, and other stakeholders to understand business requirements, translate them into engineering specifications, and deliver high-quality data products.
- Implement data governance standards and best practices to ensure data is accurate, consistent, and secure. Support compliance with relevant data privacy and security regulations.
What We Seek
Education and Work Experience
- Bachelor's degree in Computer Science or related field
- 6+ years experience in commercial data engineering or software development.
Tech Experience
- Extensive data modeling experience working with cloud-based data warehousing solutions at scale, particularly Snowflake. Knowledge of data architecture, different data modeling approaches, performance optimization, and cost management.
- Deep expertise in writing and optimizing complex SQL queries, including performance tuning, clustering strategies, and troubleshooting.
- Expertise in creating and maintaining scalable and efficient data models using tools like dbt. Experience in developing star and snowflake schemas, as well as implementing best practices for data modeling and transformation.
- Strong experience in building, maintaining, and optimizing ETL/ELT pipelines using tools like dbt, Airflow, Matillion, or similar. Familiarity with data orchestration, data quality monitoring, automation and SLAs.
- Proficiency in at least one programming language such as Python or Java for data manipulation, automation, and pipeline development.
- Hands-on experience with cloud platforms such as AWS, Azure, or GCP, particularly with services like S3, Lambda, Glue, and other data-related services.
- Experience with data visualization, data front end and BI tools such as Tableau, Looker, or Streamlit to build and support the semantic layer and self-service analytics.
- Familiarity with CI/CD and version control systems like Git to automate deployment and testing of data models and pipelines.
- Understanding of data governance principles, data privacy regulations, and security best practices. Experience implementing role-based access controls and encryption strategies in data environments.
- Experience working in Agile environments and collaborating with cross-functional teams using tools like JIRA or Confluence.
Communication/people Skills
- Excellent verbal and written communication skills.
- Proven interpersonal skills and ability to convey key insights from complex analyses in summarized business terms.
- Ability to build trust and effectively communicate with technical teams.
- Strong interpersonal skills and the ability to work in a fast-paced and dynamic environment
- Ability to make progress on projects independently and enthusiasm for solving difficult problems
Engagement Type:
Payroll and Compliance to be managed by: Kaamwork
Job Type : Direct Hire with TripAdvisor
Location: Remote
Based on your current CTC, standard market hike and interview performance final CTC will be offered
How to apply for this opportunity
- Register or login on our portal & fill out the application form.
- Clear the given Video Screening (30 min) and Click on Apply to get shortlisted
- Once it's all done, your profile will be shared with the client for the Interview round.
- When selected, just meet the client and get your exciting career started!
About Uplers:
Our goal is to make hiring reliable, simple, and fast. Our role will be to help all our talents find and apply for relevant contractual onsite opportunities and progress in their career. We will support any grievances or challenges you may face during the engagement. You will also be assigned to a dedicated Talent Success Coach during the engagement.
(Note: There are many more opportunities apart from this on the portal. Depending on the assessments you clear, you can apply for them as well).
So, if you are ready for a new challenge, a great work environment, and an opportunity to take your career to the next level, don't hesitate to apply today. We are waiting for you!
