Azure data engineer
Valce Talent Solutions · Mexico, MX ·
- Work mode
- Remote
- Category
- Data engineering
Valce Talent Solutions · Mexico, MX ·
State Street · Bangalore, Karnātaka
rhe · Holzwickede, Germany
HAVI
ALIANDO · India
Designs, builds, and maintains scalable cloud-native data pipelines and infrastructure on Azure (Data Factory, Databricks, Synapse, Event Hubs) supporting analytics, BI, and real-time processing. Remote position in Mexico requiring advanced English plus strong Python, SQL, and Azure skills.
Remote position in México
Data Engineer
Role Overview
The Data Engineer is responsible for designing, building, and maintaining scalable, cloudnative data pipelines and data infrastructure that support analytics, reporting, business intelligence, and real-time data processing.
Key Responsibilities
• Design, develop, and maintain scalable ETL/ELT pipelines for batch and real-time
data processing.
• Build and optimize data models, Delta Tables, and Lakehouse architectures to
support analytics and reporting.
• Develop and integrate RESTful APIs and data services to facilitate seamless data
exchange across enterprise systems.
• Implement real-time and high-frequency data ingestion frameworks using streaming
technologies and event-driven architectures.
• Design and manage cloud-native data solutions leveraging Azure services including
Azure Data Factory, Azure Databricks, ADLS, Event Hubs, and Synapse Analytics.
• Develop and optimize Databricks Spark applications for large-scale data
transformation and processing.
• Ensure data quality, governance, security, and compliance across data platforms.
• Collaborate with data scientists, analysts, application teams, and business
stakeholders to deliver scalable data solutions.
• Troubleshoot, monitor, and optimize pipeline performance and data platform
reliability.
• Support DataOps and CI/CD practices for data pipeline deployment and
automation.
Required Skills & Qualifications
• Strong proficiency in SQL and relational databases such as Oracle, SQL Server, and
MySQL.
• Strong programming skills in Python, PySpark, PL/SQL, Java, or Scala.
• Hands-on experience with Azure Cloud technologies:
o Azure Data Factory (ADF)
o Azure Databricks
o Azure Data Lake Storage (ADLS)
o Azure Synapse Analytics
o Azure Event Hubs
o Azure Functions
o Azure API Management
o Azure DevOps
• Experience with Databricks Lakehouse architecture, Delta Lake, and Delta Tables.
• Expertise in API development, API integration, RESTful services, and microservices
architecture.
• Experience processing high-volume and high-frequency data with low-latency
requirements.
• Strong knowledge of real-time data ingestion and streaming technologies such as
Kafka, Azure Event Hubs, or Kinesis.
• Experience with Spark, Hadoop, and distributed data processing frameworks.
• Hands-on experience with OpenShift, Kubernetes, Docker, and containerized
deployments.
• Experience with workflow orchestration tools such as Apache Airflow and Azure
Data Factory.
• Understanding of data governance, data security, and compliance best practices.
Preferred Qualifications
• Experience with Delta Live Tables (DLT), Auto Loader, and Change Data Capture
(CDC).
• Knowledge of DataOps, CI/CD, and Infrastructure as Code (IaC).
• Familiarity with event-driven architectures and real-time analytics platforms.
• Azure Data Engineer (DP-203) and Databricks certifications
mandatory skills:
Python
Azure
SQL
REMOTE
ADVANCED ENGLISH
Systems Limited · Punjab, Pakistan