Data Engineer

Role & responsibilities

• Build analytical data systems, ensure data flow, and maintain, improve, clean, manipulate and analyze databases.
• Create and analyse complex data systems for both structured and unstructured data.
• Convert MS-Excel data into python Data Frames or other relevant object type and perform operations to reduce/eliminate manual efforts.
• Integrate data to turn them into insights to drive better and faster decision-making.
• Coordinate with business stakeholders, internal engineering, and development teams to understand requirements and develop solutions.
• Understand functional requirement and recommend technical feasibility.
• Ensure best coding practices and standards are followed.
• Ensure non-functional requirements are being addressed adequately.
• Participate in interface design and coordinate report development and enhancement activities.
• Create technical documentation.
• Periodically update project/task status to Project Manager.
• Provide timely, candid, and constructive performance feedback to direct reports.

Preferred candidate profile

• Experience: 3- 6 Years
• Strong programming skills in Python.
• Efficiency in Object Oriented Programming in python.
• Should be able to develop reusable, efficient, testable, and scalable code.
• Good to have knowledge or hands-on experience with web frameworks like Django or Flask.
• Should have experience with web scrapping.
• Proficiency in SQL and NoSQL database.
• Exposure to big-data technologies like Hadoop, Spark, Talend etc.
• Integrating data from various sources, such as web services and file systems, etc.
• Developing ETL scripts.
• Should understand HTML/XML parsing.
• Building and maintaining the data systems for both structured and unstructured data
• Organizing and analyzing raw data from text, images, and other data sources
• Good to have Knowledge of Data Structures and Algorithms.
• Should be able to work with MS-Excel