We are looking Backend & Data Engineer.
To support our business growth and growing customer base, were now looking for an experienced Data Engineer to join our team and to help us take our data platform to the next level.
You will:
Be responsible for designing, implementing, and maintaining data pipelines from different sources
Design, implement and support robust, scalable solutions to provide business analysis capabilities, identify gaps and design processes to fill them
Collaborate with various stakeholders across the company like Product managers, developers and Data Scientists in order to deliver team tasks with high quality
Own the data development process end-to-end including business understanding, methodology, QA and maintenance
To support our business growth and growing customer base, were now looking for an experienced Data Engineer to join our team and to help us take our data platform to the next level.
You will:
Be responsible for designing, implementing, and maintaining data pipelines from different sources
Design, implement and support robust, scalable solutions to provide business analysis capabilities, identify gaps and design processes to fill them
Collaborate with various stakeholders across the company like Product managers, developers and Data Scientists in order to deliver team tasks with high quality
Own the data development process end-to-end including business understanding, methodology, QA and maintenance
Requirements:
2+ Years of proven “hands-on” experience as a Data Engineer
4+ Experience as a Backend Engineer
Proven experience building and optimizing big data data pipelines, architectures, and data sets
Proven experience with Columnar databases
Experience with data pipeline technologies such as Spark, Kafka, Hadoop, Amazon Kinesis, Apache Airflow
Advanced working with SQL databases- Postgres/MySQL
High proficiency with Python
Knowledge and experience in ClickHouse – Big advantage
Innovative, proactive, and independent
Strong Team Player with a Can Do attitude
2+ Years of proven “hands-on” experience as a Data Engineer
4+ Experience as a Backend Engineer
Proven experience building and optimizing big data data pipelines, architectures, and data sets
Proven experience with Columnar databases
Experience with data pipeline technologies such as Spark, Kafka, Hadoop, Amazon Kinesis, Apache Airflow
Advanced working with SQL databases- Postgres/MySQL
High proficiency with Python
Knowledge and experience in ClickHouse – Big advantage
Innovative, proactive, and independent
Strong Team Player with a Can Do attitude
This position is open to all candidates.