Data Engineer

Location: Sverige

*** Mention DataYoshi when applying ***

Saltside builds leading online marketplaces in underserved markets while creating sustainable value for the community. We operate the top classified sites in Sri Lanka ( ), Bangladesh ( ), and Ghana ( ).

Saltside is looking for an experienced Data Engineer to join our Product Development team that develops performant and configurable classified and eCommerce products. This position is fully remote and we’re looking for candidates based anywhere in India or Sri Lanka.
Saltside has a strong data-driven culture, which puts data at the centre of everything we do. In this role, you will help build analytics infrastructure which supports the e-commerce application that millions of people use every day and provides greater insights for management, marketing and local teams. You will play an important role in our data engineering practice, creating the infrastructure, integrating with 3rd party libraries, and developing the analytics platform. Responsibilities

In this role, you will be expected to:
Develop, code, test and debug solutions related to our Data solutions.

Develop, enhance and maintain the data pipelines - ingestion, transformation, storage, analysis and visualization using combination of open source and proprietary technology tools.

Automate data solutions for reporting KPIs, trends, etc.
Necessary Skills & Experience

The following are necessary to be successful in this role:
2-5 years of years of experience in a professional environment performing analysis, design and development tasks in distributed systems preferably in an eCommerce domain

Experience building large-scale data pipelines which process millions of events per day and have experience in Java/ Python, and SQL.

Understanding of data flows, data architecture, data modeling, ETL and processing of structured and unstructured data.

Good knowledge of Big Data distributions preferably with experience in messaging systems such as Kafka and stream processing systems such as Storm, Spark and cloud Data stores such as Amazon Redshift.

Strong computer science fundamentals: data structures, algorithms, programming languages, distributed systems, information retrieval, and familiarity with data mining concepts and machine learning algorithms.

Familiarity with Unix shell scripting

Strong communication skills: explaining technical concepts to product managers, support, and other engineers is no problem for you.
Good to have
Familiarity with one or more of the following might help, but even if not, do apply if you think you’re right for the job!

Knowledge of Scheduling Tools (preferably AirFlow )

Experience in solving Online Marketing problems like attribution, campaign optimization using clickstream data and user behavior patterns

Experience with Business Intelligence and reporting tools

Experience in solving Data Science problems in eCommerce domain

Experience with AWS infrastructure

Exposure to microservices architecture
What we offer

Fully remote work environment with your own budget for your home office setup.

The chance to work on a product that is changing the lives of millions of users.

A flat organization with an informal environment that offers lots of opportunities to learn and grow.

Regular team outings and fun activities (physical and virtual).

Competitive salary and comprehensive benefits package.

24 paid holidays, so you can make enough time for your hobbies & family.
About Saltside Technologies
Our mission is to build leading online marketplaces in underserved markets, creating sustainable value for the community
At Saltside, we believe there is a great opportunity to build valuable online products and businesses for emerging markets. In these countries, the vast majority of people have yet to go online for the first time. Affordable cell phones and Internet access will enable them to have their first Internet experience in the coming years – and we think they should be greeted by high-quality services and a great end-user experience.

*** Mention DataYoshi when applying ***

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