Senior Data Engineer

2 - 4 years

17 - 19 Lacs

Posted:-1 days ago| Platform: Naukri logo

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Job Type

Full Time

Job Description

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.

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).

Collaborate with stakeholders

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

Must Have Qualifications

2-4 years

total experience in data engineering on cloud platforms

Snowflake

: Min 2 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; monitoring troubleshooting.

Data ingestion

: Implementing resilient data ingestion solutions from diverse source systems and exposure to REST/JSON, pagination, auth, rate limit handling.

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 IndustryExperience/knowledge in generating embeddings and building vector indices for retrieval augmented scenarios
Contact our Integrity hotline also, read our Code of Conduct .

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