Experience from 5 to 9 Years

Desired Qualifications:

- Technical Experience (4+ years)
- Hands-on engineering experience using:
- Python, Spark, Iceberg, Hive
- Dremio or virtualization/federation/semantic layer tools
- Any major cloud – Azure or GCP
- ETL tools: Ab Initio (preferred), Informatica, DataStage
- Databases: Oracle, MS SQL, Teradata
- Orchestration: Autosys, Airflow (preferred)
- Strong SQL development and tuning skills

- Proven experience supporting and optimizing large enterprise-scale data environments.
- Working with modern Data Warehousing, Data Lakes, and Lakehouse architectures.
- Monitor, tune, and troubleshoot large-scale distributed systems.
- Diagnose memory, performance, partitioning, and query-related inefficiencies across compute engines.
- Ensure system reliability, scalability, and high throughput in enterprise data environments.
- Expertise in designing / implementing up-to-date data platforms with:

- Standardization of patterns, frameworks, and reusable components
- Automated code-generation, CI/CD and DevOps best practices
- Cloud-native and open-table formats (e.g., Iceberg)

- Hands-on experience in GenAI, Agentic AI, and LLM adoption, such as:

- Building RAG architectures, vector stores, embedding pipelines




- Integrating data systems with enterprise AI platforms
- Using LLMs to improve data quality, metadata extraction, or automation of data engineering tasks

- Familiarity with data governance and security frameworks, including privacy, compliance, lineage, and access control.
- Strong communication skills and collaborate with cross-technical / functional teams.
- Ability to work in an agile, fast-paced environment while delivering high-quality results.
- Passion for innovation, continuous learning, and adopting modern practices including AI-driven development.

Job Expectations:

- Expected to work with enterprise-grade frameworks and modern opensource technologies
- Will contribute to modernizing the application landscape by moving away from the current legacy tech stack and toolset
- Will operate in a fastpaced Agile environment with close collaboration across teams.
- Responsible for design, requirements analysis, optimization, and defining development best practices and standards.
- Expected to perform thorough peer code reviews and contribute to overall code quality and engineering excellence.

📌 Senior Software Engineer (Hyderabad)
🏢 Randstad
📍 Hyderabad