Data Engineer - Ukraine
Ukraine Anywhere
Lyft
Rideshare with Lyft. Lyft is your friend with a car, whenever you need one. Download the app and get a ride from a friendly driver within minutes.At Lyft, our mission is to improve people’s lives with the world’s best transportation. To do this, we start with our own community by creating an open, inclusive, and diverse organization.
Here at Lyft, Data is the only way we make decisions. It is the core of our business, helping us create a transportation experience for our customers and providing insights into our product launch & features' effectiveness.
Also, Data is at the heart of Lyft as a platform. We collect and process thousands of terabytes of data from various sources and use it to generate real-time traffic estimations, make correct and efficient routing decisions, and determine better pickup and drop-off locations for our passengers. Making this data accessible and useful to everyone at Lyft requires tackling data infrastructure, data engineering, and computing challenges. And now we are looking for experienced data engineers to join us!
Responsibilities:- Assemble and manage large, complex sets of data that meet non-functional and functional business requirements
- Design and evolve data models and data schema based on business and engineering needs
- Build and support ETL pipelines using tools like Hive, Airflow, Flyte, and SQL technologies
- Implement systems to track data quality and consistency
- Build analytical tools that provide insight into key performance metrics across Mapping and Lyft
- Work with stakeholders across science, engineering, data infrastructure, product, and our leadership, driving resolving data-related technical problems
- 3+ years of experience in software engineering, ideally with a focus on Data Engineering/Architecture
- Ability to work with complex production-quality software
- Technical expertise in data infrastructure, cloud computing, storage systems, and distributed computing frameworks in multi-petabyte scale systems
- Knowledge of modern data/computing infrastructure and frameworks.
Today we use S3, DynamoDB, Kafka, ElasticSearch, Spark, Flyte, Stackdriver, and SageMaker. We do not expect you to know them all but would like for you to be familiar with some - Openness to new or different ideas, and the ability to evaluate multiple approaches and choose the best one based on fundamental qualities and supporting data
- Ability to communicate highly technical problems working along our cross-functional team
- Ability to communicate in English in various forms e.g technical document, meetings, presentations
- Health insurance, life and personal accident insurance benefits
- Mental health benefits
- 28 days for paid time off in addition to 12 observed holidays and additional recharge days off throughout the year
- Family building benefits
- 18 weeks of paid parental leave. Biological, adoptive, and foster parents are all eligible
* Salary range is an estimate based on our AI, ML, Data Science Salary Index 💰
Tags: Airflow Architecture Data quality DynamoDB Elasticsearch Engineering ETL Kafka Pipelines SageMaker Spark SQL
Perks/benefits: Health care Parental leave
More jobs like this
Explore more AI, ML, Data Science career opportunities
Find even more open roles in Artificial Intelligence (AI), Machine Learning (ML), Natural Language Processing (NLP), Computer Vision (CV), Data Engineering, Data Analytics, Big Data, and Data Science in general - ordered by popularity of job title or skills, toolset and products used - below.
- Open AI Engineer jobs
- Open Data Science Manager jobs
- Open Senior Business Intelligence Analyst jobs
- Open MLOps Engineer jobs
- Open Data Manager jobs
- Open Data Engineer II jobs
- Open Sr Data Engineer jobs
- Open Power BI Developer jobs
- Open Principal Data Engineer jobs
- Open Data Analytics Engineer jobs
- Open Business Intelligence Developer jobs
- Open Data Scientist II jobs
- Open Junior Data Scientist jobs
- Open Product Data Analyst jobs
- Open Senior Data Architect jobs
- Open Business Data Analyst jobs
- Open Sr. Data Scientist jobs
- Open Big Data Engineer jobs
- Open Data Analyst Intern jobs
- Open Manager, Data Engineering jobs
- Open Azure Data Engineer jobs
- Open Junior Data Engineer jobs
- Open Data Product Manager jobs
- Open ETL Developer jobs
- Open Data Quality Analyst jobs
- Open Data quality-related jobs
- Open Business Intelligence-related jobs
- Open ML models-related jobs
- Open Data management-related jobs
- Open GCP-related jobs
- Open Java-related jobs
- Open Privacy-related jobs
- Open Finance-related jobs
- Open Data visualization-related jobs
- Open APIs-related jobs
- Open Deep Learning-related jobs
- Open PyTorch-related jobs
- Open Snowflake-related jobs
- Open Consulting-related jobs
- Open TensorFlow-related jobs
- Open PhD-related jobs
- Open CI/CD-related jobs
- Open Kubernetes-related jobs
- Open NLP-related jobs
- Open Data governance-related jobs
- Open Airflow-related jobs
- Open LLMs-related jobs
- Open Data warehouse-related jobs
- Open Hadoop-related jobs
- Open Databricks-related jobs