Get to Know Indium Tech

Indium Software is a leading provider of Digital Engineering Services, helping clients drive measurable business value through technology. We provide services across Application Engineering, Data & Analytics, Cloud

Engineering, Digital Assurance, and Low-Code Development.

Indium is an AI-driven digital engineering company with 5,000 associates globally and more than 25 years in business. Its expertise spans Generative AI, Product Engineering, Intelligent Automation, Data & AI, Quality

Engineering, and Gaming.

Indium partners with Fortune 500, Global 2000, and leading technology firms across multiple industries and geographies.

Learn more: https://www.indium.tech/#

About the Role

We are looking for a Data Engineer to build and maintain scalable, reliable data pipelines and data platforms. The role involves working across data ingestion, transformation, processing, warehousing, and analytics while leveraging modern big-data and cloud technologies.

You will work closely with data analysts, data scientists, and engineering teams to ensure high-quality, accessible,

and production-ready data.

Key Responsibilities

- Design, develop, and maintain scalable data pipelines using Python and PySpark.
- Build robust ETL/ELT workflows for ingesting, transforming, validating, and integrating data from multiple sources.
- Write and optimize advanced SQL queries for large-scale data processing and analytics.
- Develop and maintain data warehouse solutions and dimensional data models.
- Work with Hadoop and other big-data technologies to process high-volume datasets.
- Implement data quality, validation, monitoring, and error-handling mechanisms across pipelines.




- Collaborate with cross-functional teams to understand data requirements and translate them into scalable engineering solutions.
- Optimize data pipelines for performance, reliability, scalability, and cost efficiency.
- Contribute to modern data-platform and AI-enabled data engineering initiatives.

Required Skills

- Strong hands-on experience with Python.
- Strong proficiency in PySpark and distributed data processing.
- Advanced SQL, including complex queries, joins, CTEs, window functions, and query optimization.
- Strong understanding of Data Engineering principles and best practices.
- Hands-on experience with ETL/ELT pipeline development.
- Solid understanding of Data Warehousing concepts and data modeling.
- Experience with Hadoop and Big Data technologies.
- Strong debugging, problem-solving, and communication skills.

Preferred Skills

- Experience with Apache Airflow for workflow orchestration.
- Understanding of Vector Embeddings and their application in modern data and AI systems.
- Exposure to Agentic Frameworks and LLM workflows.
- Familiarity with MCP Servers and modern data platforms.
- Understanding of Semantic Search and retrieval-oriented data systems.
- Experience with cloud platforms such as AWS, GCP, or Azure.

What We Value

- Strong analytical and problem-solving ability.
- Ability to work independently and collaboratively in a fast-paced environment.
- Good understanding of scalable and production-grade data engineering practices.
- Strong communication and stakeholder collaboration skills.
- Curiosity and willingness to learn modern data, cloud, and AI technologies.

Why Join Indium?

Work on modern Data Engineering, Big Data, Cloud, and AI-enabled data platform initiatives while contributing to scalable solutions that create measurable business impact.

📌 Data Engineer (Hyderabad)
🏢 Indium
📍 Hyderabad