Match score not available

Data Engineer (Python)

Remote: 
Full Remote
Contract: 
Experience: 
Mid-level (2-5 years)
Work from: 

Offer summary

Qualifications:

3+ years hands-on software engineering experience, Experience with data analysis and engineering topics, Knowledge of Pandas, Snowflake, AWS tools, Experience with relational databases and SQL, Familiarity with Linux command line.

Key responsabilities:

  • Design, build, and produce data applications
  • Extract, clean, and verify data from sources
  • Modify database schemas and assist design implementation
  • Collaborate with DevOps on resource issues
  • Improve data engineering standards and processes
Sonalake logo
Sonalake Computer Software / SaaS SME https://sonalake.com/
51 - 200 Employees
See more Sonalake offers

Job description

Sonalake is a software partnering company that helps our clients realise their product roadmaps. Product design and engineering are at the heart of our business. Our engineering teams work with clients right across the stack; UX, UI design, frontend, backend, analytics, infrastructure, operations - and everything else that goes into delivering great products.

We thrive on variety and are highly adaptable. Our teams are exposed to domains as varied as telecom billing, ad tech, securities-based lending, travel tech analytics, and many more.

Innovation is central to our mission; anticipating future client needs, analysing emerging technologies and developing new products and services.

Focusing on architecture and pipeline design and development, our engineering practice designs and builds data platforms and analytics applications. We are now seeking to grow this team. That’s where you come in!

You will
  • Work with other engineers in the company to design, build, and produce data-intensive applications and pipelines
  • Build new pipelines and adapt existing ones to accommodate changes in data formats and new requirements
  • Extract data from external sources, clean the data, run jobs with this data, and verify the results
  • Diagnose production issues
  • Modify SQL database schemas and assist with the design and implementation
  • Collaborate with the DevOps team to address ongoing issues related to resources, components, and environment setup
  • Improve data engineering standards, tooling, and processes
You may be a fit for this role if you
  • Have 3 + years hands-on software engineering experience (in Python, Java is a nice have)
  • Have experience with data analysis and you are interested in Data Engineering and DevOps topics
  • Enjoy and have experience wrangling data and designing and building data pipelines to power reporting and analytics applications
  • Used some of the following tools:
    • Pandas, Snowflake
    • AWS
    • AWS Athena, AWS Glue, AWS Step Functions, AWS Lambda
    • Relational databases, SQL, AWS Wrangler libraries, Pandas
    • CloudWatch, IAM, Lake Formation
  • Have worked with the Linux command line
  • Have worked on teams that have shipped and operated critical software systems
  • Are a great communicator in English - both written and spoken

What's in it for you?
  • Remote-first approach with many team-building activities. You can work from our offices in Dublin, Poznan or Bratislava, or work on a fully remote or hybrid basis. We believe in a healthy work-life balance;
  • Every Sonalaker gets a training budget and paid training days every year to upskill. This covers courses, training, books or conferences;
  • We’ve a flat organisational structure with an emphasis on open, honest communication. There are no siloes, no hierarchies and no barriers;
  • We focus on innovation: we run projects to evaluate new frameworks, create tools for internal use, contribute to the open source community and research new ways to use existing products in new problem domains;
  • Indefinite period employment contract.

We take pride in being a people-oriented company. Openness and opportunity are really important to us. We build teams that span from experienced leaders to bright graduates and work to develop all of us within our coaching culture.

Required profile

Experience

Level of experience: Mid-level (2-5 years)
Industry :
Computer Software / SaaS
Spoken language(s):
EnglishEnglish
Check out the description to know which languages are mandatory.

Other Skills

  • Verbal Communication Skills
  • Collaboration
  • Problem Solving

Data Engineer Related jobs