Data Engineer

at  INOVRETAIL

Who we are?
We are a retail innovation company on a mission to democratize data intelligence. We provide data science solutions and digital tools that deliver quantifiable insights and actionable recommendations with direct and sustainable impact on retailers’ key metrics.
Inovretail is backed by a highly experienced, highly motivated team, with more than 40 years of retail experience, having worked in different geographies at Tier 1 and Tier 2 Retailers.
Our team of experts and our solutions offer a highly differentiated approach to Data Science, delivering innovative and fully integrated solutions in an ever-changing world.
More than 40 highly skilled Consultants, Data Scientists and Engineers
25+ Customers operating in 8 countries
Data from more than 1000 stores collected and analyzed
More than 1.000.000.000 data records were processed and analyzed
More than 10 partners worldwide
Empowering more than 500 wrists
Live in more than 100 stores
Qualifications
Bachelor’s degree, Masters or equivalent in Software Engineering
Professional experience
2-5 years of experience in Software Development or Management Experience
Have experience in a Data Warehouse environment with varied forms of data infrastructure, including relational databases, Hadoop, and Column Store

TECHNICAL SKILLS:

Demonstrated proficiency in programming, showcasing a strong foundation in coding principles.
Basic understanding of Hadoop/Big Data technologies, with a willingness to expand knowledge in this area.
Familiarity with continuous delivery principles, encompassing version control, unit testing, and automated testing methodologies.
Proven track record in designing, developing, and deploying enterprise Data Warehouse/Business Intelligence systems.
Hands-on experience in ETL (Extract, Transform, Load) development, preferably utilizing IBM DataStage for streamlined processes.
Proficiency in SQL, adept at crafting complex and high-performing queries across diverse platforms, including SQL Server.

Collaborate closely with clients to ensure the successful completion of software implementation projects, ensuring top-notch service delivery.
Construct fault-tolerant, adaptive, and exact data computational pipelines, optimizing queries operating on vast datasets within a distributed query engine.
Contribute to the foundational design of data architecture, models, and schemas, alongside implementation strategies.
Foster innovation by combining creative problem-solving skills with a profound understanding of the challenges at hand.
Keep the management team and colleagues updated on project statuses, proactively identifying and addressing any issues that arise.
Craft bespoke, dynamic, and visually appealing online reports and dashboards that adhere to UX guidelines, leveraging the latest functionalities in Microsoft Power BI.