Data EngineerNCSI (Formerly Asticom)

Your Challenge
As a Data Engineer, you will work closely with a multidisciplinary Agile team to build high-quality data pipelines driving analytic solutions. These solutions will generate insights from our connected data, enabling Makro PRO to advance the data-driven decision-making capabilities of our enterprise. This role requires a deep understanding of data architecture, data engineering, data analysis, reporting, and a basic understanding of data science techniques and workflows. The ideal candidate is a skilled data / software engineer with experience creating data products supporting analytic solutions. The ideal candidate is a skilled data/software engineer with experience creating data products supporting analytic solutions. They are an Agile learner, possess strong problem-solving skills, work as part of a technical, cross-functional analytics team, and want to solve complex data problems and deliver the insights to enable analytics strategy.
Design, develop, optimize, and maintain data architecture and pipelines that adhere to ETL principles and business goals
Create data products for analytics and data scientist team members to improve their productivity
Lead the evaluation, implementation and deployment of emerging tools and process for analytic data engineering in order to improve our productivity as a team
Develop and deliver communication and education plans on analytic data engineering capabilities, standards, and processes
Requirements
Previous experience as a data engineer or in a similar role
Technical expertise with data models, data mining, and segmentation techniques
Knowledge of programming languages (e.g. Java and Python)
Hands-on experience with SQL database design using Hadoop or BigQuery and experience with a variety of relational, NoSQL, and cloud database technologies
Great numerical and analytical skill
Worked with BI tools such as Tableau, Power BI
Conceptual knowledge of data and analytics, such as dimensional modeling, ETL, reporting tools, data governance, data warehousing, structured and unstructured data.