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Data Engineer

3 months ago

Delhi, Delhi, India Bloom AI Full time
Company SummaryBloom AI is a modern intelligence layer that accelerates decision-making through AI-driven synthesized insights. We empower enterprises to unlock the value of data with human-like synthesis and decision intelligence at scale.

Our proprietary tools and solutions are trusted by investment managers, insurance, private equity, and Fortune 1000 companies for more informed, efficient, and productive business practices.

Bloom AI is in Raleigh (U.S.) and New Delhi (India).

Key Responsibilities:
Scrape & ingest data across multiple sources (proprietary data sources, web, etc.) and develop structured data solutions.

Utilize AWS services (Amazon S3, Glue, RDS, DynamoDB, Lambda, Kinesis, AWS Data Pipeline, Athena) to design and deploy robust data pipelines, storage solutions, and analytics platforms.

Continuously monitor, optimize, and update data pipelines to ensure high performance, reliability, and scalability.

Work closely with cross-functional teams to deploy data solutions that align with business objectives, ensuring seamless integration and operationManage the complete lifecycle of data projects from concept through deployment, ensuring agile methodologies are applied for swift and effective delivery.


Qualifications:


Bachelor's or Master's degree in Computer Science, or a related field.1-2 years of professional experience in Data Engineering on AWS.Proficiency in programming languages such as Python.

Proficiency in SQL for data extraction and transformation.
Experience with AI services like AWS Bedrock, Open AI, Anthropic, and similar technologies is beneficial but optional.
Excellent communication skills with the ability to convey complex findings to non-technical stakeholders.
Strong problem-solving skills and attention to detail.
Ability to work collaboratively in a cross-functional team environment.