Join a team that builds the data foundations powering next‑generation AI and digital innovation. You’ll design enterprise‑grade platforms that turn complex data challenges into secure, high‑performance, reusable products.
What You’ll Do
- Design and optimize scalable pipelines with AWS, Snowflake, Python, and Spark.
- Develop batch, event‑driven, and distributed processing solutions for enterprise data products.
- Deliver high‑performance platforms that support analytics, AI, and business insights.
- Implement data quality, monitoring, error handling, metadata, and lineage frameworks.
- Enable governance via data cataloging, access controls, auditability, and compliance.
- Build reusable assets and automation to accelerate delivery and operational efficiency.
What You Need
- 7+ years building modern data solutions with Snowflake, SQL, Python, Spark, and cloud.
- Deep expertise in ETL/ELT, data modeling, orchestration, and performance optimization.
- Hands‑on experience with AWS Glue, S3, Lambda, Step Functions, and workflow tools.
- Proven track record implementing data governance, metadata management, lineage, and security controls.
- Familiarity with AI/ML, Generative AI, MLOps, and automation concepts.
- Experience applying CI/CD, automated testing, version control, and cloud‑native engineering practices.
Good to Have
- Experience supporting Generative AI, Retrieval‑Augmented Generation, or AI‑driven automation.
- Mentoring engineers and championing adoption of engineering best practices across teams.
- Delivered AI‑centric data pipelines that enabled real‑time business insights.
The Opportunity
Four hybrid roles are open in Hyderabad, with relocation support, letting you work close to cutting‑edge AI projects.