Data Engineer II (Places)

Dear Candidate,

Before submitting your resume, please pay attention to the location – we will not be able to review your resume and provide feedback if you are not (in fact) located in the location of the vacancy.

Thanks for understanding

About the project – №1 Travel platform in the world!

We believe that we are better together, and at company we welcome you for who you are. Our workplace is for everyone, as is our people powered platform.
At company, we want you to bring your unique identities, abilities, and experiences, so we can collectively revolutionize travel and together find the good out there.

Our client, 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. prject is extremely excited to play a pivotal role in supporting our travelers.

Our data engineering team is focused on delivering product’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.
product 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:

Providing the organization’s data consumers high quality data sets by data curation, consolidation, and manipulation from a wide variety of large scale (terabyte and growing) sources.
Building data pipelines and ETL processes that interact with terabytes of data on leading platforms such as Snowflake and BigQuery.
Developing and improving our enterprise data by creating efficient and scalable data models to be used across the organization
Partnering with our analytics, data science, CRM, and machine learning teams
Responsible for enterprise data integrity, validation, and documentation
Solving data pipeline failure events and implementing sound anomaly detection

What we are looking for:

4+ years of data engineering or general software development experience
Experience working with large datasets (terabyte scale and growing) and familiarity with various technologies and tooling associated with databases and big data Relational DB (PostgreSQL/MySQL)
Demonstrated proficiency in data design and data modeling
Relational DB (PostgreSQL/MySQL)
Big Data (i.e. Hadoop, Hive, BigQuery, Snowflake)
Demonstrated proficiency in data design and data modeling
Experience in developing complex ETL processes from concept to implementation; these should include defining SLA, performance measurements and monitoring.
Proficiency in query language and data exploration skills, proven record of writing complex SQL queries across large datasets.
Systems performance and tuning experience, with an eye for how systems architecture and design impacts performance and scalability
Strong software engineering principles
Experience in functional programming in Python or in an equivalent language
Self-paced, organized, and detail-oriented person with a strong sense of ownership
Strong communication skills to effectively communicate with both business and technical teams.
Ability to work in a fast-paced and dynamic environment
Ability to break down complex problems into simple solutions.
Strong interpersonal skills, intense curiosity, and an enthusiasm for solving difficult problems.

Nice to have:

Experience with data governance
Exposure to and/or interest in machine learning and data science specifically to help solve day-to-day problems and reach objectives in an innovative way
Experience working with task orchestration tools, Airflow or similar systems
Experience in programming languages such as Java or equivalent

Why join us:

Ability to work remotely from anywhere in the world
Close cooperation with the development team and client
Opportunity to influence product development
Professional growth: the certification preparation course is free for our specialists. The company pays for two attempts to pass the exam, regardless of the exam result
We cover English classes (with a native speaker)
Boost professional brand: you can participate in local conferences as a listener or as a speaker
Regular team buildings: have fun with teammates
Gifts for significant life events (marriage, childbirth)
Tech and non-tech Zazmic Communities: support and share experience with each other