Data Engineer

About Us We are a decision science organization assisting clients to leverage their under-utilized data in making complex business decisions successfully. We comprise of Data Enthusiasts (engineers, scientists visualizers), Business Consultants, and Sales Managers with a core focus to address your business growth via data. The most unique aspect of Data would be containing unique problems/opportunities even for organizations in the same sector. Since Marktine’s inception, we have worked with several sectors across Industries. We are still growing and consistently striving to improve to deliver world-class Data Assessment & Management Services. We do not follow a complex process rather strive to make complex data terminologies as simple as possible for our clients. From the team’s perspective, we adhere to complete industry standards following proper work-life balance among employees and provide the knowledge space for improvement. We encourage team building and follow a culture of innovation, transparency, and integrity. We are always open for the right enthusiasts to join our team. Job Description This is a remote position. Responsibilities: ​ Analyze and organize raw data Build data systems and pipelines Evaluate business needs and objectives Interpret trends and patterns Conduct complex data analysis and report on results Prepare data for prescriptive and predictive modeling Build algorithms and prototypes Combine raw information from different sources Explore ways to enhance data quality and reliability Identify opportunities for data acquisition Develop analytical tools and programs Collaborate with data scientists and architects on several projects ​ Requirements Requirements and skills: 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 Great numerical and analytical skills Proficiency with Microsoft Power BI, Tableau or similar data visualization application Developing and maintaining datasets