Big Data Engineer

Who we are :

Cuelebre is a technology consulting and services company. We help organisations build innovative products and solutions using big data and analytics on the cloud and on-premise.

We provide the best-in-class solutions and services that leverage big data and continually exceed client expectations. Our deep vertical knowledge combined with expertise on multiple, enterprise-grade big data platforms helps support purpose-built solutions to meet our client’s business needs.

Feel free to check us out at http://www.cuelebre.se/

We are looking for an experienced (3+ year) Data Engineer to join our team.

Someone who can help our client to build scalable, reliable and secure Data analytic solutions.

Technologies you’ll get to work with :-

Some of the technologies and languages we use are Kafka, Hadoop, Spark , Apache Airflow, Qlik Sense, Java, Scala, Hbase Jenkins.

Requirements:

• Minimum of Bachelor’s Degree, preferred in related fields (ex: Computer Science, Analytics or Statistics).

• 3 to 4 years of Data engineering and software development experience is required

• Knowledge of at least one programming language (Scala , python or Java) .

• Good knowledge of cloud technology Azure will be plus.

• Quick learning and adept-able capabilities.

• Experience of designing and developing Big Data pipelines, and handling vast amount of data on distributed system.

• Quick learning and adept-able capabilities.

• Ability to update and write SQL code required to extract data from source systems.

• Experience with the Agile/Scrum methodology.

• Excellent interpersonal, team cooperation and communication skills.

What You will Do :-

* Build large-scale batch and real-time data pipelines with data processing frameworks like spark, Scala on Azure and Cloudera platform.

* Collaborate with other software engineers, ML engineers and stakeholders, taking learning and leadership opportunities that will arise every single day.

* Use best practices in continuous integration and delivery.

* Sharing technical knowledge with other members of the Data Engineering Team.

* Work in multi-functional agile teams to continuously experiment, iterate and deliver on new product objectives.

* You will get to work with massive data sets and learn to apply the latest big data technologies on a leading edge platform.