SQL | MONGODB | ETL| PYTHON | POWER BI | POWER AUTOMATE
As a data engineer, you will be responsible for designing and setting up data infrastructure, developing and maintaining efficient data pipelines, and integrating data from various sources. Your role will also involve ensuring data quality and governance, optimizing performance, and implementing security measures. Additionally, you will collaborate with different teams and stay updated on emerging technologies.
These are your tasks in a nutshell
Perform data cleaning, data processing & ETL (Extract, Transform, Load) from various sources into data storage systems.
Ensure data quality through careful planning, development, and implementation
Maintain documentation of data pipelines, processes, and infrastructure
Regularly monitor and troubleshoot data pipelines or data-related issues and resolve them in a timely manner.
Collaborate actively with other departments to identify areas of improvement and to understand their needs and requirements.
Provide comprehensive support and assistance to colleagues in automating data-related processes or system operations with the aim of enhancing productivity and data accuracy.
Continuously aiding colleagues in navigating the transition to automated workflows, including providing training on how to effectively utilize and leverage the automated processes.
Engage in internal data evaluation and analysis, and generate reports using Power BI.
Skills & Qualifications
Bachelor's degree preferably in Computer Science/Engineering/Data Science/Mathematics or any other related field;
Experience in working with diverse databases, including SQL and MongoDB, with a good understanding of both Relational and Non-Relational Database concepts, querying, and database structure;
Possess a proficient command of Python and demonstrate adaptability in working with other scripting languages based on a solid understanding;
Proficiency in Microsoft Excel, PowerPoint, Word & other relevant tools for basic data analysis, reporting, & documentation;
Proficiency in Microsoft Power Tools: Power BI for data visualization & reporting purposes, Power Automate for creating automated workflows;
Basic understanding of HTML & CSS;
Knowledge and experience on AWS database management is an added value;
Knowledge of data pre-processing, feature engineering & model training techniques with exposure to at least one machine learning framework, such as TensorFlow, Scikit-Learn, or PyTorch is an added value;
Adequate knowledge & interest/passion in automotive is an added advantage;
Proactive, hardworking and persistent;
Self-discipline, self-starter, and honest;
Good team player, good coordination and learning ability, and able to work under pressure;
Possesses a logical mind and work carefully.
Excellent communication and written skills in English.
TecAlliance is global! Work in international teams consisting of inspiring and qualified colleagues
Your contribution matters! Shape our value-driven culture and agile transformation together with your colleagues: Think ahead and explore the new, Give and build trust - be trustful, Act on eye level
Own your career! Take advantage of a wide range of opportunities for professional and personal development
Balance job and personal life! Fully remote or hybrid (40% remote / 60% office) working with flexible working hours
Team culture is Key! We have fun at work and beyond: There is always something to celebrate and regular team events.