Join Us

Data Engineer

Company Overview

As a Data Science for Business company, we at Amplify Analytix help our clients make the most of their data using the latest methodologies. We work across a variety of domains such as healthcare, manufacturing, consumer electronics, and luxury retail. We develop data-driven analytics and solutions to tackle fundamental business problems like forecasting, pricing optimization, opportunity and lead scoring, and segmentation, as well as more novel challenges like programmatic advertising and text generation.

💡 Innovation is in our DNA – we won the European Commission’s EDI incubator award in 2020 and are finalist of the REACH incubator in 2023.

The Role

The Data Engineer role provides a significant opportunity to learn and apply data fabric technologies and solve related complex problems. We offer you extensive training on the HPE Ezmeral products i.e., Data Fabric and Unified Analytics Software, working closely with HPE to enable you to become a subject matter expert. You will be collaborating with our Customers, HPE, and the Amplify Analytix Team of data analysts, data scientists and data engineers.

🎯 Responsibilities:

  • Мaster HPE Ezmeral Data Fabric and Container Platform, covering MapR-FS, MapR-DB (Binary and JSON Tables), MapR-Streams, Kubernetes, and associated Eco-System products, staying current with evolving technology (after extensive partner training)
  • Design, develop, and maintain data pipelines, data warehouses, and data lakes using a variety of technologies
  • Collaborate with data with both internal and external teams to identify and collect data sources and be technical interface between team and client
  • Implement data quality checks and ensure the integrity of data pipelines
  • Optimize data processing and storage to meet performance and scalability requirements
  • Optimize computation using techniques such as parallel processing, distributed computing, and others
  • Document data architecture and processes clearly
  • Mentor and train junior data engineers

🔍 What we are looking for:

(Not all required but the more boxes you tick the stronger your application)

Qualifications:

  • Bachelor’s degree in Computer Science, Data Science, or a related field
  • 3+ years of experience in data engineering
  • Ability and drive to learn and implement new technologies quickly
  • Experience with data orchestration and management platforms, such as Apache Airflow, Apache Spark, or Apache Hadoop
  • Experience with data warehousing and data lake technologies (Snowflake, AWS S3, Azure blob storage etc.)
  • Experience with cloud computing platforms, such as AWS, Azure, or GCP
  • Strong understanding of data modeling principles and best practices
  • Experience with scripting languages, such as Python or Bash
  • Experience with Linux operating systems
  • Excellent communication and collaboration skills

 

Additional Skills (any of them is a plus):

  • Experience in architecting, administrating, configuring, installation, and maintenance of Open Source Big-data applications, with focused experience on MapR distribution
  • Experience with DevOps practices
  • Experience with Hadoop ecosystem technologies
  • Familiarity with either Ansible, Puppet or Chef
  • Familiarity with Kubernetes
  • Basic experience in Java or Scala programming

 

Soft Skills:

  • Proficient English verbal and written communication skills are required
  • Technical mindset with high attention to detail
  • Customer-oriented mindset
  • Mentorship experience can be a plus

 

🤝 We offer you:

  • Attractive compensation and benefits’ package
  • A flexible working model by combining a Hybrid way of work policy (work from home with office collaboration days) and flexible working hours
  • 25 days of paid leave
  • Medical insurance
  • Monthly access to mental wellness consultation
  • Multiple career progression opportunities
  • Tailor-made training and ongoing development program to help you enhance your skills with access to certification courses. (Variety of technical and soft skills, plus business training programs)
  • Fun and collaborative working atmosphere with a vast variety of company activities
  • International cross-cultural team environment
  • Diverse cross-functional projects
  • Work side by side with top-notch professionals

 

🏳️‍🌈 At Amplify Analytix we stand for equal opportunities. We respect and foster diversity. All applications will be treated in strict confidentiality, based entirely on qualifications, skills, knowledge and experience, and relevant business requirements.

Interview Process:

· 20-30 minutes introductory interview with HPE Engagement Lead

· 60-90 minutes technical interview with the hiring manager and members of the data engineering team

· 30-60 minutes final interview with a member(s) of the leadership team and HPE representative

Job Type: Data Engineer
Location: Role is located in Sofia, Bulgaria and will be reporting to: Director of Data Science at Amplify Analytix.

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