3–5 yrsBengaluruOn-siteDirect career pageEst. 10–18 LPA
Posted 16h ago
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Job description
Structured overview of role & requirements
About This Role
- Lead design and development of data warehousing solutions including ETL/ELT pipelines using Snowflake and AWS Glue.
- Ensure data accuracy and optimize data storage/retrieval performance while integrating AI/ML solutions like Cortex AI and AWS Bedrock.
- Collaborate with stakeholders to address business requirements in Finance, Accounts, and Manufacturing domains.
Minimum Requirements
- 3 to 5 years overall experience with at least 2 years in Data Analytics and Digital solutions involving Lake house architecture.
- BTech in Computer Science or IT.
- Technical expertise with data modeling, data mining, segmentation, and programming in Java, Python, plus hands-on SQL database design.
- Experience with Cloud ETL/ELT, Cloud Data Warehousing, AI/ML tools; domain knowledge in Finance, Accounts, and Manufacturing.
Ideal Candidate Profile
- Experienced in architecting and optimizing data warehousing and ETL/ELT processes using Snowflake and AWS Glue in cloud environments.
- Practical knowledge integrating AI platforms (Cortex AI/AWS Bedrock) into data pipelines with applied domain expertise in Finance, Accounts, and Manufacturing.
- Proficient in managing shifting priorities and mentoring teams within agile development frameworks.