Lead Cybersecurity Product Engineer

4 - 7 years

13 - 17 Lacs

Posted:1 day ago| Platform: Naukri logo

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Job Type

Full Time

Job Description

We are looking for a hands on Data Engineer to design, build, and operate robust data pipelines and platforms on Snowflake with Azure You will use

strong SQL

,

Python/PySpark

,

ADF pipelines

, and modern data modeling practices to ingest data from diverse data sources, and enable AI/ML use cases via

VectorDB indexing and embeddings

The role emphasizes reliability, performance, cost efficiency, and secure data operations in line with our enterprise platforms and standards

Key Responsibilities

Design & build data pipelines

on Snowflake and Azure (ADF, PySpark) to ingest data from REST APIs, files, and databases into curated zones

Model data

optimized for analytics, reporting, and downstream applications

Develop embeddings & VectorDB indices

to power semantic search/retrieval (eg , generating embeddings and indexing into enterprise approved vector stores; integrate with pipeline orchestration)

Own performance & cost optimization

in Snowflake (SQL tuning, partitioning, caching, clustering, compute sizing)

Implement CI/CD and DevOps

practices (Git branching, automated deploys for ADF/Snowflake)

Harden reliability

( itoring, alerting, retry logic, SLA tracking) and

security/compliance

(RBAC, secrets management, data governance, data lineage)

Collaborate with stakeholders

(product, analytics, and platform teams) to translate requirements into technical design and deliver incremental value

Must Have Qualifications

4-7 years

total experience in data engineering in large scale enterprise systems

Snowflake

: Min 3 years of experience in Snowflake with exposure to warehouse configuration, schema design, performance tuning; stored procedures/tasks; loading strategies Exposure to Snowflake Cortex AI

SQL/Python/PySpark

: Design and implement scalable data processing solutions using SQL, Python, and distributed compute frameworks, including unit/integration tests

Azure & ADF

: ADLS Gen2, ADF pipelines/activities, triggers, parameterization; itoring & troubleshooting

Data modeling

: Apply data modeling techniques, including medallion architecture (Bronze/Silver/Gold)

API ingestion

: designing resilient ingestion of REST/JSON, pagination, auth, rate limit handling

VectorDB & embeddings

: Experience generating embeddings and building vector indices for retrieval mented scenariosExposure to building knowledge graphs and Gremlin or Cypher graph query languages on CosmosDB/Neo4j

Version control & CI/CD

: Git, pull requests, automated deployment pipelines Maintain a results-oriented mindset with strong analytical and problem-solving skills

Good to Have

Experience in Healthcare IndustryPrior experience working on data migration projects
Providence s vision to create Health for a Better World aids us to provide a fair and equitable workplace for all in our employment, whether temporary, part-time or full time, and to promote individuality and diversity of thought and background, and acknowledge its role in the organization s success
This makes us committed towards equal employment opportunities, regardless of race, religion or belief, color, ancestry, disability, ital status, gender, sexual orientation, age, nationality, ethnic origin, pregnancy, or related needs, mental or sensory disability, HIV Status, or any other category protected by applicable law In furtherance to our mission in building a more inclusive and equitable environment, we shall, from time to time, undertake programs to assist, uplift and empower underrepresented groups including but not limited to Women, PWD (Persons with Disabilities), LGTBQ+ (Lesbian, Gay, Transgender, Bisexual or Queer), Veterans and others

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Providence Global Center logo
Providence Global Center

Business Services, Technology

Seattle

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