Data Engineer
Poland - Remote
Applications have closed
Sonalake
Sonalake is a trusted partner for global technology brands, telcos and scale-up disruptors.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.
With a particular focus on data science and data visualisation, our fast-growing analytics 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 client stakeholders to gather requirements around their data analytics needs and use of data
- Work with other engineers in the company to design, build, and productionise data intensive applications and pipelines
- Create and maintain relevant specifications and documentation
- 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 with java or python
- Enjoy and have experience wrangling data and designing and building data pipelines to power reporting and analytics applications
- Have knowledge of data integration services in at least one of the following (e.g. AWS, Azure Data Factory or GCP Cloud Data Fusion)
- Have developed data-intensive production systems using some of the following
- Pandas, AWS Wrangler
- Athena, Glue, Lake Formation
- Presto, Hive Metastore, Apache Spark, AWS Lambda
- Datalake, Data Warehouse, DynamoDB
- Have worked with tools like Jenkins, Docker, Git and are very comfortable working from the Linux command line and with scripting languages
- Thrive in a collaborative environment involving different stakeholders and subject matter experts
- Are a great communicator in English - both written and spoken
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.
* Salary range is an estimate based on our AI, ML, Data Science Salary Index 💰
Tags: Athena AWS Azure Data Analytics Data pipelines Data warehouse Docker DynamoDB Engineering GCP Git Lambda Linux Pandas Pipelines Python Spark UX
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