Senior Data Engineer

3 weeks ago

Gurugram, India Intellismith pvt Ltd Full time

About Intellismith :

Intellismith, founded in 2019, is a dynamic HR service and technology startup. Our mission is to tackle India's employability challenges head-on. 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, we're transitioning from a service-centric model to a product-focused company. Our journey involves building a cutting-edge skilling platform to empower Indian youth with domain-specific training, making them job-ready for the competitive market.

Why Join Intellismith :

Impactful Mission : Be part of a forward-thinking 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 Sub-Saharan, 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 (Candidates with notice period of more than 30 days are not preferred)

Mandatory Skills : Python, SQL (Python developers are also preferred)

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.

(ref:hirist.tech)

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