We are looking for a highly skilled software engineer to build next-generation AI data platforms and lakehouse solutions. The ideal candidate will have deep expertise in database technologies, modern data warehouses, open table formats, distributed data processing, and cloud-native software engineering.

Key Responsibiliites:

- Design and develop scalable AI data platforms and lakehouse architectures.
- Build high-performance data ingestion, storage, and analytics solutions.
- Develop cloud-native services for enterprise-scale data processing.
- Optimize database performance and query execution across heterogeneous data sources.
- Drive architecture, technical design, and engineering best practices.

Career Level - IC4

About the role:

We are looking for a highly skilled software engineer to build next-generation AI data platforms and lakehouse solutions. The ideal candidate will have deep expertise in database technologies, modern data warehouses, open table formats, distributed data processing, and cloud-native software engineering.

Key Responsibilities:

- Design and develop scalable AI data platforms and lakehouse architectures.
- Build high-performance data ingestion, storage, and analytics solutions.
- Develop cloud-native services for enterprise-scale data processing.
- Optimize database performance and query execution across heterogeneous data sources.
- Drive architecture, technical design, and engineering best practices.




- Required qualifications
- 10+ years of software engineering experience building enterprise data platforms.
- Strong expertise in Oracle and other relational/analytical databases (PostgreSQL, MySQL, SQL Server, Snowflake, Redshift, BigQuery, etc.).
- Solid understanding of data warehouse concepts, ETL/ELT, dimensional modeling, and lakehouse architectures.
- Hands-on experience with Apache Iceberg, Parquet, Avro, and related open table/file formats
- Experience with distributed data processing frameworks such as Apache Spark, Trino/Presto, Kafka, or Flink.
- Strong programming skills in Java and/or Python (Scala, Go, or C++ is a plus).
- Good understanding of database internals, SQL optimization, indexing, partitioning, transactions, and performance tuning.
- Experience building cloud-native applications on OCI, AWS, Azure, or GCP.

Preferred qualifications

- Bachelors or Masters degree in Computer Science or a related field from a reputed institution with a strong academic record.
- Familiarity with AI/ML data pipelines, vector databases, and modern AI data architectures is a solid plus.

Disclaimer: This job posting has been aggregated from external source. Role details, content, and availability are subject to change. Applicants are advised to confirm the latest information directly on the company website before applying.

📌 Principal Data Systems Software Engineer (Hyderabad)
🏢 Oracle
📍 Hyderabad