Experience : 5.00 + years

Salary : Confidential (based on experience)

Expected Notice Period : 7 Days

Shift : (GMT+05:30) Asia/Kolkata (IST)

Opportunity Type : Remote

Placement Type : Full Time Contract for 6 Months(40 hrs a week/160 hrs a month)

**(*Note: This is a requirement for one of Uplers' client - LL)

**What do you need for this opportunity?

Must have skills required: Amazon Bedrock., PGVector, VoyageAI embedding integrations, APIS, Batch, Data Pipelines, Go orchestration, Migration, Golang

LL is Looking for: Role Overview**** We are looking for a hands-on Senior Data Engineer to improve data ingestion processes and the pipelines supporting production search and matching systems.

The role involves taking ownership of routine data delivery, improving reliability and data quality, and working on production data engineering with ML, embedding, and matching integrations.

Key Responsibilities

- Pipeline Ownership and Ingestion
- Document existing data flows, source interfaces, transformations, and failure scenarios.
- Automate ingestion, validation, deduplication, and incremental updates from approved sources.
- Make source onboarding repeatable and reduce the validated backlog.
- Recovery, Data Quality and Lineage
- Implement safe retries, checkpoints, replay/backfill, and quarantine without silent data loss or duplication.
- Reconcile record counts and maintain metadata, source identifiers, and data lineage.
- Detect schema changes, implement quality checks, and investigate pipeline failures.
- Production Operations and Matching
- Maintain matching-service interfaces and contribute to agreed ML/matching changes.
- Test embedding and indexing consistency, compatibility, and matching quality.




- Work with DevOps on logs and alerts for data freshness, failures, throughput, latency, and cost.
- Maintain tests, deployment discipline, and runbooks for independent operation and recovery.
- Privacy and Collaboration
- Implement approved consent, access, separation, retention, and deletion rules.
- Identify and report unresolved data mappings.
- Clarify requirements, communicate progress, and escalate unresolved legal decisions.

Required Skills And Experience Essential Technical Experience

- Experience owning production data pipelines, including failure investigation and recovery.
- Strong SQL and PostgreSQL modelling skills, with practical Go orchestration and migration capability.
- Experience with APIs, batch/asynchronous processing, schema evolution, metadata, and lineage.
- Understanding of idempotency, reconciliation, and safe recovery or reruns.
- Production experience with vector search and embedding pipelines for search or matching.
- Ability to diagnose input, embedding, indexing, and downstream quality issues.
- Experience with cloud operations, automated testing, code review, and deployment practices.
- Knowledge of monitoring, alerts, runbooks, privacy-aware modelling, and access controls.

Good-to-Have Technical Experience
- Direct experience with pgvector and Amazon Bedrock.




- Experience with VoyageAI embedding integrations and embedding evaluation.
- Python data-processing experience.
- Knowledge of entity resolution and search relevance.

Industry Experience
- Experience with data pipelines supporting production search, matching, or ML products – Required.
- Experience in Recruitment Technology (HRTech) and recruitment data – Desirable.

Soft Skills and Working Style
- Clear communication and collaboration with Product, Engineering, and DevOps teams.
- Ability to independently investigate issues and apply practical problem-solving skills.
- Strong attention to detail and ownership of implementation.
- Focus on operational reliability and timely follow-through.
- Ability to clarify ambiguity, explain technical decisions, verify results, and escalate blockers.

How to apply for this chance?

- Step 1: Click On Apply! And Register or Login on our portal.
- Step 2: Complete the Screening Form & Upload updated Resume
- Step 3: Increase your chances to get shortlisted & meet the client for the Interview!

About Uplers: Our goal is to make hiring reliable, simple, and fast. Our role will be to help all our talents find and apply for relevant contractual onsite opportunities and progress in their career. We will support any grievances or challenges you may face during the engagement. (Note: There are many more opportunities apart from this on the portal. Depending on the assessments you clear, you can apply for them as well).

So, if you are ready for a new challenge, a great work environment, and an opportunity to take your career to the next level, don't hesitate to apply today. We are waiting for you!

📌 Senior Data Engineer (Data Ops) (India)
🏢 Uplers
📍 India