In this role, we are looking for candidates who will be responsible for all aspects of data acquisition, data transformation, analytics scheduling and operationalization to drive high-visibility, cross-division outcomes. Investigate, evaluate, test and recommend technical solutions for future systems. The Big Data Engineer will support software developers, database architects, data scientists on data initiatives and will ensure optimal data delivery architecture.
Experience / Skills:
Experience as a software engineer
Experience with AWS/Cloud Big Data computing design, provisioning, and tuning
Knowledge of database concepts, object and data modeling techniques and design principles
Detailed knowledge of database architectures, software, and facilities
Successful history of manipulating, processing, and extracting value from large disconnected data sets
Experience with programming languages — Python (required) and/or Scala and/or Ruby and/or R
Database technologies — SQL, performance tuning concepts, AWS RDS, RedShift, MySQL
Experience with big data batch processing tools: Hadoop MapReduce, ElasticSearch, PIG, Hive, Cascading/Scalding, Apache Spark, AWS EMR
Experience with stream-processing systems: Kinesis, Kafka, MQTT
Experience with relational NoSQL databases including DynamoDB
Bachelor’s degree in computer science, computer engineering, or a related field, or the equivalent combination of education and related experience
Related AWS certification, preferred
Previous experience as a Data Engineer / Database Administrator and/or Business Intelligence Analyst
Ability to write JSON, XML, YAML and other data definition schemas
Excellent career opportunities
Competitive remuneration based on qualification and contribution
Flexible working schedule, vacations, paid sick leaves
Good working environment
Great team spirit
Perfect office location in the very center of Kyiv
Build distributed, scalable, and reliable data pipelines that ingest and process data at scale and in real-time
Provide solutions for the design and implementation of Hadoop EMR Cluster/ Big Data Infrastructure
Deploy and maintain Hadoop/Big Data/Spark and database storage Infrastructures in AWS cloud
Create data environments and/or data sets to serve a wide range of data users, including but not limited to Data Scientists, Data Analysts, Business Analysts etc
Perform offline analysis of large data sets using components of a big data software ecosystem
Support the evaluation of big data technologies and prototype solutions to improve data processing architecture
Troubleshoot and determine root cause of complex data provenance, metadata issues and engineering questions that may involve interfacing with various technical staff in multiple organizations and with differing levels of expertise
Investigate, evaluate, test and recommend technical solutions for future systems
Project — is a platform for today’s busy families, bringing them closer together by helping them better sync, communicate with and protect the people they care about most. Our mobile app provides millions of families in over 140 countries with services such as private location sharing, location history, drive details, crash detection, roadside assistance and help alerts through our free and paid membership subscription.
Our customer base, which currently exceeds 25 million monthly active users (MAU), has enabled us to become one of the world’s largest sources of consumer driving data with more than 24 billion miles collected per month as of September 2019. The company is at the forefront of a broad range of technologies (mobile, location services, hardware sensors, machine learning, big data, etc) in pioneering its family-centric platform.
Data plays a crucial role in our client’s project growth by driving smarter decisions, improving operations, and creating higher value user experiences. As an analytics team, we partner with a wide variety of cross functional partners to apply data insights against strategic initiatives. “Know Our Users” is our core value and we’re looking for analytics professionals who are passionate about leveraging user data to create value for our customers.
You’ll be working in a dynamic growth environment, leading efforts to better understand the business, the product, and the customer. If you have a passion for making an impact and working on products that help millions of families around the world, then this is the right place for you.