Company Background

Our client is a global technology company transforming the way brands and agencies make marketing decisions. Their platform enables marketers to plan and activate cross-channel, programmatic media campaigns using real-time market research, proprietary audience data, advanced analytics, and more than 150 integrated partners including Facebook, Instagram, Pinterest, Snapchat, and Twitter. The company operates across North America, Europe, the Middle East, Asia, and Australia.

Project Description

The Data Operations Team's primary responsibility is to build, support and maintain the data pipelines database infrastructure and maintain efficient data stores. They work on improving reliability, scalability and efficiency of databases, data pipelines and data stores by engineering solutions that hosts the large amount of data the team uses as well as monitor, alert and auto-remediate issues that rises.

Technologies

• Oracle
• MySQL
• RAC/Dataguard
• Linux
• Scripting (Shell/Python/Ruby)
• Vertica, Druid, Kafka, Hadoop, Snowflake
• Redis, Mongo, Aerospike
• Ansible/Puppet

What You'll Do

• Perform database and system patching;
• Ensure regular system maintenance and operational stability;
• Install and configure new machines;
• Maintain and support database clusters, ensuring high availability and performance;

Job Requirements

• Strong expertise in Oracle RAC;
• 5+ years of experience in Oracle RAC and MySQL database administration;
• Solid experience with RAC/Data Guard maintenance, database installation and upgrades, backup and recovery, performance tuning, and security management;
• Hands-on experience with Linux systems;
• Good understanding of system administration principles;
• Experience with other databases (e.g., PostgreSQL, MySQL);
• Familiarity with scripting languages such as Shell, Python, or Ruby;
• Strong communication skills with the ability to clearly explain technical concepts to both technical and non-technical stakeholders;

What Do We Offer

The global benefits package includes:

• Technical and non-technical training for professional and personal growth;
• Internal conferences and meetups to learn from industry experts;
• Support and mentorship from an experienced employee to help you professional grow and development;
• Internal startup incubator;
• Health insurance;
• English courses;
• Sports activities to promote a healthy lifestyle;
• Flexible work options, including remote and hybrid opportunities;
• Referral program for bringing in new talent;
• Work anniversary program and additional vacation days.

Company Background

Our client is a global technology company transforming the way brands and agencies make marketing decisions. Its platform enables marketers to plan and activate cross-channel, programmatic media campaigns using real-time research, proprietary audience data, advanced analytics, and more than 150 integrated partners including Facebook, Instagram, Pinterest, Snapchat, and Twitter. The company operates across North America, Europe, the Middle East, Asia, and Australia.

Project Description

Data Management Platform is the core system that receives, processes and provides information to other external DMPs and real time platforms. The purpose of DMP is to store the connection between users/devices and their respective behavioral categories. Further this data is used by the other teams for the analytics and digital ad targeting. Team roadmap includes developing a new system based on the streaming architecture with a relevant tech stack.

Technologies

• Spark
• Scala
• Vertica
• Kafka
• Airflow
• K8S
• Python, Java (preferable)

What You'll Do

• Own end-to-end development, from design to production, with a focus on innovation and efficiency;
• Lead and mentor developers on complex projects impacting core business systems;
• Contribute to the design and development of next-generation data solutions;
• Implement high-scale big data solutions and contribute to platform infrastructure and architecture;
• Research and evaluate core technologies, integrations, and external APIs;
• Collaborate with cross-functional stakeholders, including Product, Engineering, and data providers;
• Participate in an off-hours pager duty rotation;

Job Requirements

• Bachelor’s degree in Computer Science, Computer Engineering, or equivalent experience;
• 4+ years of software development experience;
• 2+ years of experience with Apache Spark;
• 2+ years of experience with Scala (preferred) and/or Python or Java;
• Experience working with high-performance, large-scale, or distributed data systems;
• Experience with SQL and NoSQL databases;
• Experience with Kubernetes;
• Experience with Git;
• Experience building and optimizing data pipelines, ETL processes, and streaming systems (e.g., Hadoop, Spark, Kafka) is a plus;
• Familiarity with tools such as GitLab, Grafana, InfluxDB, and Kibana is a plus;
• Strong communication skills and ability to work effectively in a team;
• English level: B1+ or higher;

What Do We Offer

The global benefits package includes:

• Technical and non-technical training for professional and personal growth;
• Internal conferences and meetups to learn from industry experts;
• Support and mentorship from an experienced employee to help you professional grow and development;
• Health insurance;
• English courses;
• Sports activities to promote a healthy lifestyle;
• Flexible work options, including remote and hybrid opportunities;
• Referral program for bringing in new talent;
• Work anniversary program and additional vacation days.

At Lyft, our purpose is to serve and connect. We aim to achieve this by cultivating a work environment where all team members belong and have the opportunity to thrive.

The Safety and Customer Care (SCC) team at Lyft manages over 1.7 million monthly human and AI interactions and serves as Lyft's primary direct touchpoint with riders and drivers. We handle critical infrastructure that powers both human associates and AI agents to make riders and drivers feel safe and comfortable while riding or driving with Lyft, transforming every support interaction into a moment of genuine connection. 

As a Data Engineer on the SCC team, you will have ownership over the data modeling and pipelines that power SCC’s Associate and AI Agent Platform . Your efforts will be critical to the reliability of our pipelines, execution of third party data integrations, accurate reporting of agents performance, and efficiency improvements that can save millions of dollars / year. You will work cross-functionally to bridge Lyft's business goals with data engineering. Your efforts will allow access to business and user behavior insights, using huge amounts of Lyft data to fuel several teams such as Analytics, Data Science, Engineering, and many others. 

Responsibilities:

• Owner of the core data pipeline, responsible for scaling up data processing flow to meet the rapid data growth at Lyft
• Evolve data model and data schema based on business and engineering needs
• Implement systems tracking data quality and consistency
• Develop tools supporting self-service data pipeline management (ETL)
• SQL and MapReduce job tuning to improve data processing performance
• Write well-crafted, well-tested, readable, maintainable code
• Participate in code reviews to ensure code quality and distribute knowledge
• Collaborate cross-functionally with product, engineering, data science, and marketing teams to understand business problems and align on prioritization and solutions

Experience:

• 4+ years of professional experience in data engineering, ideally with large-scale distributed systems.
• Strong experience with Spark
• Experience with Hadoop (or similar) Ecosystem, S3, DynamoDB, MapReduce, Yarn, HDFS, Hive, Spark, Presto, Pig, HBase, Parquet
• Strong skills in a scripting language (Python, Go)
• Good understanding of SQL Engine and able to conduct advanced performance tuning
• Proficient in at least one of the SQL languages (MySQL, PostgreSQL, SqlServer, Oracle)
• 1+ years of experience with workflow management tools (Airflow, Oozie, Azkaban, UC4)
• Comfortable working directly with data analytics to bridge Lyft’s business goals with data engineering
• Preferred to have experience of building and maintaining customer care related data tables as a Data Engineer for large organizations

Benefits:

• Professional and stable working environment.
• The latest technology and equipment you need.
• Potential to work remotely, including out of country (dependent on work authorizations).
• 28 calendar days for vacation and up to 5 paid sick days.
• 18 weeks of paid parental leave. Biological, adoptive and foster parents are all eligible.
• Mental health benefits.
• Family building benefits.

This role is fully remote in Ukraine, however, employees are required to live and work in Ukraine in order to be qualified for this position. #Remote