Data Engineer (Snowflake | Azure | Python | AI/ML)-4

We are seeking an experienced Data Engineer with strong expertise in Snowflake, Python, Azure Cloud, Spark, SQL, and Kubernetes to design, build, and maintain scalable cloud-based data platforms. The ideal candidate should have hands-on experience developing modern data pipelines, deploying AI/ML models, implementing CI/CD practices, and working with healthcare data. Experience with Databricks is highly preferred.

The role involves collaborating with data scientists, analysts, and business stakeholders to deliver high-quality, secure, and scalable data solutions that support advanced analytics and machine learning initiatives.

Key Responsibilities

• Design, develop, and maintain scalable ETL/ELT data pipelines using Python and SQL.
• Build and optimize enterprise data solutions using Snowflake and Azure cloud services.
• Develop and manage big data processing workflows using Apache Spark.
• Design and optimize data models for analytics and reporting.
• Develop, deploy, and monitor AI/ML models in production environments.
• Build and maintain CI/CD pipelines using GitHub Actions.
• Orchestrate and schedule data workflows using Apache Airflow.
• Deploy and manage containerized data applications using Kubernetes.
• Integrate data from multiple structured and unstructured sources.
• Optimize Snowflake performance, query execution, and warehouse utilization.
• Collaborate with Data Scientists, Data Analysts, and business teams to deliver data-driven solutions.
• Ensure data quality, governance, security, and compliance throughout the data lifecycle.
• Support production issues, troubleshoot data pipelines, and implement performance improvements.
• Work with healthcare datasets while ensuring compliance with data privacy and security standards.

Required Skills

• 4–7 years of experience in Data Engineering.
• Strong experience with Snowflake.
• Proficiency in Python programming.
• Hands-on experience with Azure Cloud services.
• Strong knowledge of Apache Spark.
• Excellent SQL development and query optimization skills.
• Experience with Kubernetes for container orchestration.
• Experience building CI/CD pipelines using GitHub Actions.
• Hands-on experience with Apache Airflow.
• Knowledge of data modeling, ETL/ELT development, and data warehousing concepts.
• Experience deploying and monitoring AI/ML models.
• Strong analytical and problem-solving skills.
• Excellent communication and collaboration abilities.

Preferred Skills

• Hands-on experience with Databricks.
• Experience with Delta Lake and Spark optimization.
• Knowledge of Azure Data Factory (ADF).
• Experience with Azure DevOps.
• Familiarity with REST APIs and microservices.
• Experience with Infrastructure as Code (Terraform/Bicep) is a plus.
• Understanding of data governance, security, and compliance frameworks.

Domain Experience

• Experience working in the Healthcare domain is highly preferred.
• Understanding of healthcare data models, interoperability, and compliance standards is an added advantage.

Qualifications

• Bachelor's or Master's degree in Computer Science, Information Technology, Engineering, Data Science, or a related field.

Preferred Candidate Profile

• Strong understanding of modern cloud data architectures.
• Ability to design scalable and high-performance data platforms.
• Experience working in Agile/Scrum environments.
• Self-motivated with excellent troubleshooting and problem-solving skills.
• Strong stakeholder management and cross-functional collaboration skills.
• Passion for building secure, reliable, and data-driven solutions.

Work Location: Hybrid remote in Noida, Uttar Pradesh (Noida)