Data Engineer

Amaris
29 days ago

Role details

Contract type
Permanent contract
Employment type
Full-time (> 32 hours)
Working hours
Regular working hours
Languages
English
Experience level
Intermediate

Job location

Remote

Tech stack

Airflow
Amazon Web Services (AWS)
Amazon Web Services (AWS)
Apache HTTP Server
Big Data
Data as a Services
Data Mining
Data Systems
Data Visualization
Hadoop
Python
NoSQL
Power BI
SQL Databases
Tableau
Scripting (Bash/Python/Go/Ruby)
Snowflake
Spark
Data Analytics
Kafka
Data Management
Data Pipelines
Redshift
Databricks

Job description

  • Design, build, install, test, and maintain highly scalable and reliable data management systems
  • Ensure technical solutions align with business requirements and follow industry best practices
  • Integrate and re-engineer emerging data and software technologies into existing data stacks
  • Define and document standardized processes for data mining, modeling, and production
  • Use tools like Python, SQL, Spark, and Airflow to connect and automate data systems
  • Recommend and implement improvements to enhance data reliability, efficiency, and quality
  • Collaborate closely with data architects, data modelers, and IT teams to align on project goals and deliverables, Join our dynamic team of talented individuals and experience a world of growth and opportunities. Here's what we offer:
  • Grow rapidly with a tailored career path and salary evaluation - 70% of our senior leaders started at entry level
  • Enhance your skills through our Tech Academy catalog, Udemy E-learning Platform, Languages Sessions, webinars, and technical workshops
  • Take charge of your training with an annual personal learning budget and company-paid certifications - including support for AWS and other key credentials
  • Enjoy flexible work policies, remote work options, and fantastic social benefits like transit and restaurant tickets, kindergarten support, and private health insurance
  • Benefit from our WeCare program, supporting employees in critical situations
  • Unleash your full potential, both professionally and personally

Requirements

  • 2-3y of proven experience as a Data Engineer, Software Developer, or similar role
  • Proficiency with the Apache ecosystem: Spark, Hadoop, Kafka, Airflow
  • Strong hands-on experience with AWS data services: Glue, Redshift, Kinesis, S3
  • Demonstrated experience in designing, building, and optimizing big data pipelines, architectures, and datasets
  • Solid knowledge of SQL and NoSQL databases, with hands-on experience in Snowflake and/or Databricks
  • Familiarity with data pipeline and workflow orchestration tools
  • Proficiency in scripting languages such as Python or Scala
  • Excellent analytical and communication skills, with the ability to collaborate across technical and business teams
  • AWS Cloud Practitioner, Big Data, or Data Analytics certification is a plus
  • Knowledge of SnapLogic or data visualization tools (e.g., Tableau, Power BI, QuickSight) is a plus

About the company

Take your career to the next level with Amaris Consulting as a Data Engineer. Become part of an international team, thrive in a global group with €800M turnover and 1,000+ clients worldwide, and an agile environment by planning the kickoff and follow-up on cutting-edge data projects. Join Amaris Consulting, where you can develop your potential and make a difference by building the data infrastructures of tomorrow.

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