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 setting 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 setting 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