Skills

Must have

4+ years of backend engineering experience.
Strong Python / Java or similar programming language.
Strong SQL, query optimization, and large-scale data handling.
Experience with PostgreSQL / MySQL / Snowflake / Redshift or similar databases.
Strong understanding of distributed systems, scalability, system design, and reliability.
Cloud experience with AWS / GCP / Azure.
Exposure to GenAI/LLMs, embeddings, vector search, or LLM-powered applications.
Kafka/Kinesis and Spark/Airflow experience is a plus.
Strong problem-solving and communication skills.
Good to have: Data engineering, streaming systems, analytics platforms, GenAI/LLM, and data visualization experience.

Build scalable, high-performance backend systems for data-intensive applications.
Design data access layers, APIs, workflows, and scalable data services.
Work with Snowflake and large-scale data platforms.
Build intelligent data products using GenAI/LLMs for anomaly detection, summarization, and insights.
Design scalable data models, schemas, and analytics solutions.
Work on real-time/near-real-time processing and distributed systems.
Optimize performance through query tuning, caching, and efficient data-access patterns.

4+ years of backend engineering experience.
Strong Python / Java or similar programming language.
Strong SQL, query optimization, and large-scale data handling.
Experience with PostgreSQL / MySQL / Snowflake / Redshift or similar databases.
Strong understanding of distributed systems, scalability, system design, and reliability.
Cloud experience with AWS / GCP / Azure.
Exposure to GenAI/LLMs, embeddings, vector search, or LLM-powered applications.
Kafka/Kinesis and Spark/Airflow experience is a plus.
Strong problem-solving and communication skills.
Good to have: Data engineering, streaming systems, analytics platforms, GenAI/LLM, and data visualization experience.

Data Engineer

Compensation

Not disclosed

Location

Pune

Work setup

Not specified

Seniority

Not specified

Employment

Not specified

Experience

4+ years

4+ years of backend engineering experience.
Strong Python / Java or similar programming language.
Strong SQL, query optimization, and large-scale data handling.
Experience with PostgreSQL / MySQL / Snowflake / Redshift or similar databases.
Strong understanding of distributed systems, scalability, system design, and reliability.
Cloud experience with AWS / GCP / Azure.
Exposure to GenAI/LLMs, embeddings, vector search, or LLM-powered applications.
Kafka/Kinesis and Spark/Airflow experience is a plus.
Strong problem-solving and communication skills.
Good to have: Data engineering, streaming systems, analytics platforms, GenAI/LLM, and data visualization experience.

Build scalable, high-performance backend systems for data-intensive applications.
Design data access layers, APIs, workflows, and scalable data services.
Work with Snowflake and large-scale data platforms.
Build intelligent data products using GenAI/LLMs for anomaly detection, summarization, and insights.
Design scalable data models, schemas, and analytics solutions.
Work on real-time/near-real-time processing and distributed systems.
Optimize performance through query tuning, caching, and efficient data-access patterns.

4+ years of backend engineering experience.
Strong Python / Java or similar programming language.
Strong SQL, query optimization, and large-scale data handling.
Experience with PostgreSQL / MySQL / Snowflake / Redshift or similar databases.
Strong understanding of distributed systems, scalability, system design, and reliability.
Cloud experience with AWS / GCP / Azure.
Exposure to GenAI/LLMs, embeddings, vector search, or LLM-powered applications.
Kafka/Kinesis and Spark/Airflow experience is a plus.
Strong problem-solving and communication skills.
Good to have: Data engineering, streaming systems, analytics platforms, GenAI/LLM, and data visualization experience.