Quick overview
Job description
Loc: Remote
Duration: 8 weeks
Skill: Python, CI/CD, Azure
Job Title: Data Engineer
Required Skills: Python, Microsoft Azure, CI/CD
Job Type: Contract / Full-Time
Experience: 5+ years (preferred)
Job Summary
We are looking for an experienced Data Engineer with strong expertise in Python, Microsoft Azure cloud services, and CI/CD pipelines. The ideal candidate will design, develop, and maintain scalable data pipelines, build reliable data integration solutions, and implement automated deployment processes to support enterprise data engineering initiatives.
Key Responsibilities
Design, develop, and maintain scalable data pipelines using Python.
Build and optimize ETL/ELT workflows for processing structured and unstructured data.
Develop cloud-based data engineering solutions using Microsoft Azure services.
Work with Azure Data Factory, Azure Databricks, Azure Data Lake Storage, and Azure Synapse Analytics.
Implement and manage CI/CD pipelines using Azure DevOps, Git, and automated deployment tools.
Automate data processing, validation, testing, and deployment workflows.
Optimize data pipelines for performance, scalability, reliability, and cost efficiency.
Integrate data from APIs, databases, files, and other enterprise systems.
Implement data quality checks, monitoring, logging, and error-handling mechanisms.
Collaborate with data analysts, data scientists, architects, and development teams.
Follow best practices for data security, governance, access control, and version management.
Required Skills
Strong programming experience in Python.
Hands-on experience with Microsoft Azure cloud services.
Experience building ETL/ELT pipelines and data integration solutions.
Strong understanding of SQL and relational databases.
Experience with Azure Data Factory and Azure Data Lake Storage.
Experience implementing CI/CD pipelines using Azure DevOps.
Proficiency with Git, branching strategies, and version control.
Knowledge of automated testing, deployment, and infrastructure management.
Understanding of data modeling, distributed processing, and cloud architecture.
Strong troubleshooting, analytical, and problem-solving skills.
Preferred Qualifications
Experience with Azure Databricks and PySpark.
Knowledge of Azure Synapse Analytics and Delta Lake.
Experience with Docker, Kubernetes, or infrastructure as code.
Familiarity with Terraform or ARM/Bicep templates.
Experience working with REST APIs and event-driven data processing.
Knowledge of data governance, security, and compliance practices.
Key Technical Skills
Python | Microsoft Azure | Azure Data Factory | Azure Databricks | PySpark | SQL | Azure DevOps | CI/CD | Git | ETL/ELT | Azure Data Lake Storage | Azure Synapse Analytics
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