Urgent Hiring - Data Engineer

About Intellismith

At Intellismith, we power digital transformation for enterprises while closing the skills gap across India. Since 2019, we've delivered innovative HR solutions, technology resource outsourcing, and talent acquisition for leading brands in BFSI, IT, and emerging industries. Our expertise extends from scalable cloud services and AI-powered automation to secure, enterprise-grade IT solutions. But our vision goes beyond technologywe're committed to building India's future workforce. Our state-of- the-art skilling and assessment platform connects young talent to industry-relevant training, bridging the gap between education, employability, and high-impact careers.

Why choose Intellismith

- Proven partner for enterprise digital transformation and IT modernization

- Leading provider of technology outsourcing solutions in India

- Mission-driven company driving skills development and workforce readiness

- Collaborative, growth-focused teams across Noida, Chennai, Mumbai, and Bangalore

Core Services:

- Enterprise Technology Solutions (Cloud, AI, Automation, Security)

- HR Outsourcing and Recruitment

- Training & Assessment Platform

- Domain-Specific Skilling for BFSI, IT, and more

As a leading outsourcing partners, we are hiring a 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.

Purpose of role:

To design and build scalable, high-performance data solutions using modern big data technologies, enabling data-driven decision-making across the organization.

Job Details:

• Experience: 46 years of relevant experience in data engineering
• CTC Bracket:Competitive, aligned with industry standards
• Qualification: BE / B Tech / MCA / BCA / MTech.
• Location: Gurugram (WFO - 5 days)
• Notice Period: Immediate to 15 days (Candidates with notice period of less than 30 days are preferred)

Mandatory Skills:

• Strong hands-on experience with PySpark
• Proven ability to write and optimize complex SQL queries
• Experience with Hadoop is an added advantage

Skills Required:

• Solid understanding of distributed data processing and big data architecture
• Ability to write efficient, optimized, and scalable PySpark code
• Experience in building and maintaining data pipelines (batch/streaming)
• Knowledge of data modeling, performance tuning, and debugging
• Good problem-solving skills with a focus on engineering robust data solutions

Roles & Responsibilities:

• Develop and optimize large-scale data processing pipelines using PySpark
• Work with Hadoop-based storage and processing frameworks
• Collaborate with cross-functional teams to understand data needs and deliver reliable datasets
• Ensure data quality, governance, and performance across the data platform
• Troubleshoot and improve existing data workflows for scalability and efficiency

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