Job Title: Data Engineer 

Location: Ahmedabad, Gujarat, India 

Job Type: Full-time 

Experience Level: 3+ years 

Salary Range: 10-15 LPA 

Job Summary: 

We are looking for a skilled and driven Data Engineer to join our dynamic team at an innovative healthcare startup. You will play a critical role in architecting, developing, and optimizing robust data infrastructure and pipelines that power our AI/ML and analytics initiatives. The ideal candidate has strong experience in cloud-based data engineering, thrives in fast-paced environments, and is passionate about building scalable, reliable data systems from the ground up. 

Key Responsibilities: 

Data Pipeline Development & Optimization: 

• Design, build, and maintain scalable ETL/ELT pipelines using AWS (Glue, Lambda, S3, SQS, SNS) and Orchestration tools (Airflow etc.). 
• Develop real-time and batch data pipelines that support high-volume, low-latency data processing. 
• Implement robust data ingestion frameworks for structured and unstructured data from various internal and external sources. 
• Ensure data quality, consistency, and lineage using automated validation and monitoring tools. 
• Optimize data pipelines for performance, cost-efficiency, and fault tolerance. 
• Work closely with data scientists, AI/ML engineers, and product teams to deliver reliable, production-grade data and data access and APIs. 
• Build and maintain internal Python-based APIs to expose data to downstream consumers. 
• Coordinate with business stakeholders to understand data needs and translate them into technical solutions. 

Cloud Infrastructure & Storage: 

• Leverage AWS services (S3, Lambda, SNS, SQS, Glue) and Azure Functions for distributed data processing. 
• Build and manage scalable data lakes and warehouses, primarily using Snowflake. 
• Ensure data security, access control, and compliance with privacy regulations (HIPAA, GDPR, etc. where applicable). 
• Develop infrastructure-as-code templates for repeatable deployment of data resources. 

Qualifications & Skills: 

Education: Bachelor’s/Master’s degree in Computer Science, Information Systems, or a related field. 

Experience:  3+ years of hands-on experience in designing and maintaining modern data platforms and pipelines. 

Technical Skills: 

Languages & Tools: Python (Pandas, PySpark, Boto3), SQL, Bash 

Data Engineering Tools: Apache Airflow, AWS Glue, AWS Lambda, Azure Functions 

Cloud & Storage: AWS (S3, SNS, SQS, Glue), Azure, Snowflake, Redshift (good to have) 

Data Modeling: Star/Snowflake schemas, Dimensional Modeling 

Workflow & CI/CD: Git, Docker, Git, JIRA, Confluence 

Monitoring & Logging: CloudWatch, Prometheus, ELK Stack (optional) 

If you're an data enthusiast who thrives on solving complex problems and loves working in an agile startup environment, we would love to hear from you!