Position: Data Engineer (#14748265)
Company: N-iX
Category: Data Science
Experience required: 1y
English level: upper

You will join a team of 5 Data professionals and Build a Data Lake platform from scratch using cutting-edge technologies. You will also be involved in developing new data pipelines, ingesting, and data orchestration.
The Data Team is a brand-new function that’s been created with data at the heart and minds of growing the business to be a data-led company. We want to hear from experienced and creative data analysts who want to use their skills to improve people’s lives and help us democratize mobility thru fintech.

Requirements:
• Advanced knowledge in a high-level programming language commonly used in ETL pipelines, such as Python or Scala
• Experience in building ETL pipelines in AWS Glue
• Experience in developing RESTful web services for data APIs
• Strong Proficiency in SQL including a solid understanding of how to optimize query performance
• Experience creating resilient ETL pipelines with workflow management tools such as Airflow
• Working knowledge around data modeling best practices with modern data-warehouses such as Redshift, Snowflake
• Experience with cloud computing platforms (AWS, GCP, Azure) and UNIX environment
• Experience in designing, implementing, and monitoring big data analytics solutions
• Have fast learning capability and natural curiosity about big data
• BS or MS in Computer Science or related fields
• English level – upper-intermediate or higher

Nice to have:
• Knowledge of distributed systems: Spark, Hadoop, Presto, Hive, etc
Message Queueing systems: Kafka, NSQ, SQS, etc
• Database (Relational &amp; NoSQL): PostgreSQL, MySQL, Cassandra, etc
• Have production sized open-source data tools, including setting up CI/CD pipelines, IaC (Terraform), version control, and technical documentation authoring
• Experience working with dbt
• Familiarity with Docker, Kubernetes

Responsibilities:
• Design, develop, test and maintain highly scalable data infrastructure
• Build high-performance integrated data pipelines
• Ensure standardized metadata, access protocols, and discovery mechanisms
• Build data quality checks
• Explore and integrate new big data technologies and software engineering tools into current infrastructures
• Research opportunities for data acquisition and new uses for existing data
• Collaborate with Data and IT team members in enhancing the data platform and data standards
• Monitoring data collection, storage, and retrieval processes

We offer:
• Flexible working hours
• A competitive salary and good compensation package
• Best hardware
• A masseur and a corporate doctor
• Healthcare & sport benefits
• An inspiring and comfy office

Professional growth:
• Challenging tasks and innovative projects
• Meetups and events for professional development
• An individual development plan
• Mentorship program

Fun:
• Corporate events and outstanding parties
• Exciting team buildings
• Memorable anniversary presents
• A fun zone where you can play video games, foosball, ping pong, and more