At Intellismith, we power digital transformation for enterprises while closing the skills gap across India.

Since 2019, weve 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 technologywere committed to building Indias 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.

Job Details :

Experience : 8+ years with strong hands-on experience in Python & SQL development.

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 in Python, including data processing, automation, frameworks, and writing modular, reusable code.

- Expert-level SQL including Advanced PL/SQL, query writing, stored procedures, performance tuning & optimization.

Skills Required :

- Expert in advanced SQL, PL/SQL, query optimization & performance tuning and Python.

- Strong experience with Oracle/PostgreSQL + working knowledge of NoSQL.

- Hands-on with ETL tools (Talend/NiFi) & CDC tools (Debezium/GoldenGate).

- Good knowledge of Linux, debugging, computer science fundamentals.

- Hands-on experience on Big Data (Hadoop/Spark).

Roles & Responsibilities :

- Build & optimize data pipelines using Python and SQL.

- Design and manage ETL workflows and CDC-based data processes.

- Improve database structures, query performance, and data quality.

- Collaborate with cross-functional teams (Testing, Deployment, Support).

- Troubleshoot issues, enhance performance, and adopt new best practices.