Lead I - Data Engineering

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Summary: Carelon Global Solutions India is seeking a Software Engineer II with 5–8 years of data engineering experience to build and produce data flows powering advanced project solutions, owning ETL/ELT pipelines, DocumentDB/MongoDB operational stores, and AWS-based integrations linking Snowflake to agentic pricing workflows.

The Opportunity: · Own end-to-end ingestion, transformation, and curation of OCR, embedding, and contract analysis outputs; land and normalize them in AWS storage and design efficient DocumentDB/MongoDB collections. · Design and implement the Claims ETL pipeline on AWS (EMR, Glue, Spark, Lambda, Step Functions), transforming Snowflake data into canonical JSON with idempotency, retries, and DLQs. · Model schemas and data contracts for claims, contract pricing, and agent outputs with proper versioning and lineage. · Integrate normalized claims and pricing data into agentic pricing orchestration/services and persist priced outputs for audit and analytics. · Implement observability, data quality frameworks (Great Expectations, pytest), and enforce security (IAM, KMS, VPC, secrets). · Partner with AI/ML and platform engineers on throughput, SLAs, and deployment on the ASAP.ai platform. ·· Design and build internal APIs (FastAPI, Flask, API Gateway) to expose claims, contracts, and pricing artifacts.

What you need: ·· 5-8 years of experience in data engineering with production ETL/ELT on AWS. ·· B.E./B.Tech in Computer Science, IT, or Engineering. ·· Strong expertise in Python and SQL, alongside workflow orchestration using Airflow or Step Functions. ·· Solid understanding of data quality patterns, testing frameworks, and CI/CD pipelines. ·· Strong collaboration skills to work alongside AI/ML, platform, and cross-functional engineering teams.

Required Skills: ·· ETL/ELT Pipeline Development & Orchestration (Airflow, AWS Step Functions, EMR, Glue, Spark) ·· Cloud Data Warehousing & Databases: Snowflake (data modeling, performance tuning) & DocumentDB / MongoDB (collections, indexing, aggregation) ·· Programming & Querying: Python and SQL ·· Cloud Infrastructure & Storage: AWS (S3, Lambda, Step Functions, EMR/Glue, API Gateway) · Data Quality & Observability: Great Expectations, pytest, CloudWatch, OpenTelemetry · DevOps & CI/CD: GitHub Actions, CodeBuild, Terraform, CloudFormation, Docker

Desired Skills: · Experience integrating OCR and embedding pipelines and curating unstructured data outputs · Agentic/LLM workflow integration experience (structured I/O, schema guards, A2A/MCP paradigms) · API development using FastAPI, Flask, or GraphQL (OpenAI specs, RBAC, pagination) · Redis for caching or operational state management

Qualification: · B.E./B.Tech in Computer Science, Information Technology, Engineering, or a related field.

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UST is an Equal Opportunity Employer. We believe that no one should be discriminated against because of their differences, such as age, disability, ethnicity, gender, gender identity and expression, religion, or sexual orientation.

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USTreserves the right to periodically redefine your roles and responsibilities based on the requirements of the organization and/or your performance.

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