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Data Engineer

Actively Reviewing the Applications

Soojh AI

India, Delhi, New Delhi Full-Time On-site
Posted 7 hours ago • Apply by June 14, 2026

Job Description

Company Description

Soojh AI is a leading AI services and consulting company that specializes in empowering businesses with Artificial Intelligence and Generative AI solutions to drive efficiency and growth. The organization offers end-to-end expertise for AI integration, AI-driven product development, and establishing in-house AI capabilities. With successful collaborations with Fortune 500 companies and startups that have scaled to unicorn status, Soojh AI has delivered impactful solutions across diverse industries including FinTech, LegalTech, Healthcare, Media, Hospitality, and Airlines. Committed to fostering AI innovation, Soojh AI helps businesses stay competitive and future-ready.


Job Requirements


• Bachelor’s or master’s degree in computer science, Information Systems, or related field

• Hands-on experience with Snowflake cloud data platform, including data ingestion, transformation, and orchestration.

• Strong background in building and maintaining data warehouse solutions on Snowflake.

• Proficiency in SQL, Python, or other programming languages for data processing and automation

• Experience with ETL/ELT tools, data pipeline development, and Apache Airflow workflow management

• Proficiency in real-time data processing (Spark Streaming, Flink, Kafka Streams).

• Experience with cloud data warehouses, Snowflake, and data lakes (Delta Lake, Iceberg)

• Familiarity with NoSQL (MongoDB, Cassandra) and key-value stores (Redis, DynamoDB) is highly desirable.

• Experience with batch & streaming pipelines (Kafka, Kinesis, Pub/Sub).

• Experience with Azure cloud platforms, Azure Event Hubs and their integration with Snowflake

• Understanding of marketing technologies, customer data platforms, and data integration challenges

• Knowledge of data quality, data governance, and security practices in data engineering

• Strong problem-solving skills and ability to optimize data processes for performance and scalability

• Good communication and teamwork skills to collaborate with data architects, analysts, and marketing teams

• Relevant certifications (e.g., Snowflake, Azure Cloud, and Big Data) are a plus

Required Skills

Communication Product Development Engineering Automation MongoDB Python Cloud Platforms SQL Data Integration Cassandra Redis DynamoDB Snowflake Spark Kafka Healthcare Data Governance Azure Airflow ETL NoSQL Data Engineering Artificial Intelligence Apache Data platform Kinesis Data quality Iceberg Governance Apache Airflow Workflow management Orchestration Azure Cloud Consulting Customer data Data processes Data processing Data ingestion Big Data Generative Data platforms Ingestion Event Hubs Delta Data warehouse Pipeline development Unicorn Cloud Data Security practices Information Systems Generative AI Batch ELT Fortune 500 companies Spark Streaming Data Pipeline Computer Science Azure Event Hubs Flink AI integration Streams
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