About Intellismith
Intellismith founded in 2019 is a dynamic HR service and technology startup. Our mission is to tackle Indias employability challenges headon. Currently we operate two key lines of business: recruiting and outsourcing. With teams based in Noida Chennai Mumbai and Bangalore we collaborate with top brands in the BFSI and IT sectors.
As we chart our growth trajectory were transitioning from a servicecentric model to a productfocused company. Our journey involves building a cuttingedge skilling platform to empower Indian youth with domainspecific training making them jobready for the competitive market.
Why Join Intellismith
- Impactful Mission: Be part of a forwardthinking organisation committed to solving employability challenges. Your work directly contributes to bridging the skills gap and transforming lives.
- Innovation and Growth: Contribute to our exciting transition from services to products. Shape the future of our skilling platform and impact Indian youth positively.
- Collaborative Environment: Work alongside talented professionals across multiple locations. Our diverse teams foster creativity and learning.
- Entrepreneurial Spirit: Intellismith encourages fresh ideas and entrepreneurial thinking. Your voice matters here.
As an outsourcing partners we are hiring Senior Data Engineer to work on a project for our client which is the largest provider of telecoms and mobile money services in 14 countries spanning SubSaharan Central and Western Africa.
Job Details
- Experience required 3 years for experience in Data engineering
- CTC Bracket As per best in the market
- Qualification BE/B.Tech/ Graduation in computer stream.
- Location Gurugram (WFO)
- Notice Period: Immediate to 15 days (We kindly request that candidates with notice periods exceeding 30 days refrain from applying)
Mandatory Skills: Python SQL (Python developers can also apply)
Required Skills:
- Utilize expertise in SQL and Python to develop maintain and optimize data pipelines and ETL processes.
- Implement and maintain ETL tools to efficiently extract transform and load data from various sources into the data warehouse.
- Proficiently work in a Linux/Unix environment to manage and manipulate data effectively.
- Develop and optimize Python and SQL code for distributed and multithreaded programming to enhance data processing capabilities.
- Demonstrate strong debugging skills to troubleshoot and resolve issues in data pipelines and systems.
- Stay abreast of industry best practices and emerging technologies leading the adoption of new tools and techniques where applicable.