Position: Senior Data Engineer (Kinesis, Redshift)
Company: Ciklum
Experience required: 3y
English level: intermediate

Our goal is a constant one: to make it simpler, quicker and cheaper for marketers to inbox great emails.

Ongage technology is high in scale, we enable delivery and and analytics of 4 Billion emails messages a month via APIs to tenth of partners, which are the biggest ESPs in the world. We manage 10 TB of Big Data, tenth of clusters of Redshift, Mongo DB. Out stack also include node.js, PHP, MySql (RDS), Redis, Memcached, AWS SQS, bash. With your help we plan to get into RabbitMQ, and React.js as well.

**On behalf of Ongage, Ciklum is looking for Senior Data Engineer to join our team in Kyiv on a full-time basis**

**Responsibilities**

Be the data engineering expert in a backend development team, lead the data processing projects, and guide other team members in the data world
Be the “go to guy” for any aspect in the team related to data of SQL
Build data pipeline and data processing processes with Amazon Kinesis, Lambda, Redshift, Athena, MySQL, SNS, SQS, Kinesis Data Analytics
Build ETL processes involving data processing, CTAs, Redshift, Athena and MySQL
In addition take part in other developments of backend team in Node.js/Typescript that are not necessarily data oriented, in many cases oriented to message queues processing

**Requirements**

Experience in 3 of the following AWS services: Redshift, Kinesis, Athena, Lambda
Experience MySQL
Extremely strong skills in relational databases and SQL.
4 + years of experience in either: Node.js, Python, Java
Willingness to learn ad code in Node.js

**Desirable**

Experience in other technologies in our stack: RabbitMQ, Redis, SQS, SNS, MongoDB
Experience in other data technologies that are not part of our stack currently: EMR, PrestoDB, Spark
Personal skills
Great communication skills
Ability understand product requirements
Can do attitude
Team Player
Smart, exceptional

**What's in it for you**

Be part of a large scale system in terms of data processing, job queue processing and fair scale of API and with very little tolerance for system issues. We encounter interesting challenges on this aspect and developed several best practices to avoid issues
We have fair amount of work in building new services from scratch
We use interesting technologies like: Amazon Kinesis, Redshift, Lambda, RabbitMQ, Redis/lua (Elasticache) as message queues, SQS
Unique working environment where you communicate and work directly with client
Variety of knowledge sharing, training and self-development opportunities
Competitive salary
State of the art, cool, centrally located offices with warm atmosphere which creates really good working conditions
Friendly and trusted environment where all ideas are heard