Data Engineer - Immediate Joiner Navi Mumbai

Role & responsibilities

Build analytical data systems, ensure data flow, and maintain, improve, clean, manipulate and analyse 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: 4- 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 analysing 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

Perks and benefits

Saturday Sunday Fixed Off

Opportunity to work in Banking Domain