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Data Er.

WebSenor InfoTech -
Remote

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Job details

Full-time
2 days ago

Qualifications

CI/CD
Azure
Business intelligence
Computer Science
Kubernetes
DevOps
Spark
Git
Master's degree
SQL
Analysis skills
Docker
Bachelor's degree
Machine learning
Terraform
Continuous integration
REST
Scrum
GitHub
APIs
Agile
Apache
Data science
AI
Communication skills
Python
Debugging
Information Technology

Full job description

Job Summary

We are seeking an experienced Senior Data Engineer with strong expertise in Snowflake, Python, Azure Cloud, Spark, SQL, and Kubernetes to design, develop, and maintain scalable data platforms and analytics solutions. The ideal candidate will have hands-on experience in cloud-native data engineering, data pipeline orchestration, CI/CD automation, and AI/ML model deployments. Experience with Databricks and the Healthcare domain will be highly preferred.

Key Responsibilities

Design, develop, and optimize scalable ETL/ELT data pipelines using Snowflake, Python, and Apache Spark.
Build and maintain cloud-based data platforms on Microsoft Azure.
Develop and manage data ingestion, transformation, and loading processes for structured and semi-structured datasets.
Implement and optimize data warehouse solutions in Snowflake for high-performance analytics.
Orchestrate workflows using Apache Airflow for reliable and automated data processing.
Deploy and manage containerized applications using Kubernetes.
Build CI/CD pipelines using GitHub Actions to automate code deployment and infrastructure changes.
Collaborate with Data Scientists to deploy, monitor, and maintain AI/ML models in production environments.
Implement best practices for data quality, governance, security, and performance optimization.
Create scalable analytics datasets to support business intelligence and reporting.
Troubleshoot production issues and optimize system performance across cloud environments.
Work closely with cross-functional teams, including Data Science, Business Intelligence, Product, and Engineering.
Ensure compliance with Healthcare data standards, security, and privacy regulations where applicable.

Required Technical Skills

Snowflake
Python
SQL
Apache Spark
Microsoft Azure
Kubernetes
GitHub (CI/CD & GitHub Actions)
Apache Airflow
Data Analytics
AI/ML Model Deployment
REST APIs
Data Warehousing Concepts
ETL/ELT Pipeline Development
Version Control (Git)

Preferred Skills

Databricks
Delta Lake
Azure Data Factory (ADF)
Azure Data Lake Storage (ADLS Gen2)
MLflow
Docker
Terraform
Azure DevOps
Healthcare domain experience (HIPAA/FHIR/HL7 knowledge is an added advantage)

Qualifications

Bachelor's or Master's degree in Computer Science, Information Technology, Data Engineering, or a related field.
5–8 years of experience in Data Engineering, Cloud Data Platforms, or Analytics Engineering.
Strong problem-solving, analytical, and debugging skills.
Excellent communication and stakeholder management abilities.
Experience working in Agile/Scrum environments.

Preferred Experience

Hands-on experience building enterprise-scale data platforms.
Experience deploying machine learning models into production.
Exposure to healthcare data ecosystems and regulatory compliance.
Experience with large-scale data processing and cloud-native architectures.

Work Location: Remote

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Refine Your Search

ai/ml engineer senior jobs in work from home india

Data Er.

Senior Backend Developer

Snowflake Data Architect (With AI experience)

Automation Lead

Senior Manager - Renewals

Engineer Trainee

(US) Surgical Video Annotation Program Lead

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