Data Engineer
BengaluruFull-timePosted 3mo ago
About the role
Data Engineer responsible for building large‑scale data pipelines, optimizing SQL, and designing cloud-based data infrastructure to power AI-driven data solutions at Altimate AI.
Responsibilities
- Building highly performant large‑scale data infrastructure that can scale to 100K+ jobs and handle PB scale data per day.
- Design and implement robust, scalable data infrastructure on AWS, utilizing Kubernetes and Airflow for efficient resource management and deployment.
- Design and develop a comprehensive SQL intelligence system encompassing query optimization, dynamic pipeline generation, and data lineage tracking.
Qualifications
- 3-5 years of experience in data engineering, with a focus on building scalable data pipelines and systems
- Strong proficiency in Python and SQL
- Extensive experience with SQL query profiling, optimization, and performance tuning, preferably with Snowflake
- Deep understanding of SQL Abstract Syntax Tree (AST) and experience working with SQL parsers (e.g., sqlglot) for generating column-level lineage and dynamic ETLs
- Experience in building data pipelines using Airflow or dbt
- Optional: Solid understanding of cloud platforms, particularly AWS
- Optional: Familiarity with Kubernetes (K8s) for containerized deployments
Skills
Required:PythonSQLSQL AST / sql parsersAirflowdbt
Nice to have:SnowflakeAWSKubernetes
Last updated Jul 29, 2026. Interested? Apply on the company site.
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