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SumCircle Technologies Private Limited
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Mumbai · On-site · 8-11 Yrs · Sep 29
1 views
1 to 50 Employees · Mumbai, India
3 open roles0 posted in 7d3 in 30d
Work-life balance 3.3Compensation & benefits 1.8Culture & values 3.8
Hiring: Engineering
What employees say
+ Good work environment for employees
− limited career learning growth as an individual
More reviews on the company profile.
Job description
Overview
Reports : Engineering Head
Responsibilities
- Build scalable ETL/ELT and streaming pipelines from enterprise systems and third-party AI platforms.
- Develop API connectors to ingest AI-generated metadata, events and telemetry.
- Normalize, validate and enrich data into common enterprise schemas.
- Build metadata repositories, data lakes, vector indexes and search infrastructure.
- Optimize storage and retrieval for enterprise AI applications.
- Partner with Solution Architects, AI Engineers and Backend Engineers.
- Implement data quality, lineage, governance and monitoring.
- Ingest outputs from LLMs, video AI, speech AI, vision AI and enterprise systems.
- Build vector indexing and semantic retrieval pipelines.
- Manage embeddings, metadata stores and searchable knowledge repositories.
- Support AI analytics, telemetry and operational reporting.
Qualifications
- Location : Mumbai
- Reports : Engineering Head
- Role Summary
- Design, build and operate scalable enterprise data platforms that power AI applications and business workflows. Own ingestion, transformation, storage, indexing and delivery of structured and unstructured data from enterprise systems and AI providers. Ensure AI-generated signals, metadata and telemetry are reliable, searchable and available for real-time workflows and analytics.
- Python, SQL Spark/Airflow or equivalent is critical .
- Kafka/RabbitMQ or similar streaming platforms.
- PostgreSQL, MongoDB, Redis.
- Vector databases (Pinecone, Weaviate, Milvus or equivalent).
- REST APIs, JSON, Parquet.
- Docker, Kubernetes fundamentals and AWS/Azure/GCP.
- Use AI for ETL/ELT development, SQL generation, API integration, documentation, testing and refactoring.
- Review and validate AI-generated code for correctness, security, maintainability and performance.
- Use AI to troubleshoot pipeline failures, optimize performance and automate repetitive engineering tasks.
- Knowledge of prompt engineering and AI-assisted software development lifecycle.
- Enterprise AI platforms, workflow automation, media technology, OTT, digital asset management or enterprise SaaS.
- Reliable, scalable, low-latency data pipelines.
- High-quality searchable metadata and vector indexes.
- Near real-time availability of AI-generated signals.
- Strong governance, monitoring and operational reliability.
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Job application FAQ
Last updated 1 October 2026
- How do I apply for Data Engineer – AI Platforms & Enterprise Data at SumCircle Technologies Private Limited?
- Open this job on Feedback AI and sign up free (or sign in). You can apply from the job detail page; match scores and skill gaps appear when your profile is complete. SumCircle Technologies Private Limited may attach structured assessments to interview rounds after you apply.
- Does Feedback AI show a match score for this Data Engineer – AI Platforms & Enterprise Data role?
- Yes after you add a resume or skills. Match score ranks this role against your profile — skills met, gaps, level, and location — so you prioritise applications where fit is strongest.
- Is Data Engineer – AI Platforms & Enterprise Data remote or on-site in Mumbai, Maharashtra?
- This listing is marked on_site with location Mumbai, Maharashtra. Confirm details on the job description before applying.
- What skills matter for this Data Engineer – AI Platforms & Enterprise Data role at SumCircle Technologies Private Limited?
- This is a mid-level Data Engineer – AI Platforms & Enterprise Data role. Key skills include skills listed in the job description. Feedback AI highlights matched vs missing skills on your profile after signup.