Azure Data Engineer

Gratitude Inc

64 Views

3 days ago

Azure Data Engineer

5-8 Year(s)

Manila

Job Description

Key Skills

Java Azure Devops python programming Technical leadership Azure Data Engineer

0 candidate(s) have already applied for this Job. Apply now

Job title: Azure Data Engineer

Work set up:
• Hybrid: 2 WFH & 3 RTO (Location: Manila (Eton Centris, Quezon Avenue, Quezon City)
Work shift: Night Shift
Experience: 5years+
Start date: TBD

Qualifications:
• Bachelor’s degree in Computer Science, Engineering, or a related field (or equivalent experience) and able to demonstrate high proficiency in programming fundamentals.
• Proven experience as a Data Engineer or similar role dealing with data and ETL processes.
• Strong knowledge of Microsoft Azure services, including Azure Data Factory, Azure Synapse, Azure Databricks, Azure Blob Storage and Azure Data Lake Gen 2.
• Experience utilizing SQL DML to query modern RDBMS in an efficient manner (e.g., SQL Server, PostgreSQL).
Strong understanding of Software Engineering principles and how they apply to Data Engineering (e.g., CI/CD, version control, testing).
• Experience with big data technologies (e.g., Spark).
• Strong problem-solving skills and attention to detail.
• Excellent communication and collaboration skills.
• Not a job hopper

Job Description Summary:

Utilizes software engineering principles to deploy and maintain fully automated data transformation pipelines that combine a large variety of storage and computation technologies to handle a distribution of data types and volumes in support of data architecture design. A Data Engineer designs data products and data pipelines that are resilient to change, modular, flexible, scalable, reusable, and cost effective.

Responsibilities:
• Design, develop, and maintain data pipelines and ETL processes using Microsoft Azure services (e.g., Azure Data Factory, Azure Synapse, Azure Databricks, Azure Fabric).
• Utilize Azure data storage accounts for organizing and maintaining data pipeline outputs. (e.g., Azure Data Lake Storage Gen 2 & Azure Blob storage).
• Collaborate with data scientists, data analysts, data architects and other stakeholders to understand data requirements and deliver high-quality data solutions.
• Optimize data pipelines in the Azure environment for performance, scalability, and reliability.
Ensure data quality and integrity through data validation techniques and frameworks.
• Develop and maintain documentation for data processes, configurations, and best practices.
• Monitor and troubleshoot data pipeline issues to ensure timely resolution.
• Stay current with industry trends and emerging technologies to ensure our data solutions remain cutting-edge.
• Manage the CI/CD process for deploying and maintaining data solutions.

Skills:
Learning agility
Technical Leadership
Consulting and managing business needs
Strong experience in Python is preferred but experience in other languages such as Scala, Java, C#, etc is accepted.
Experience building spark applications utilizing PySpark.
Experience with file formats such as Parquet, Delta, Avro.
Experience efficiently querying API endpoints as a data source.
Understanding of the Azure environment and related services such as subscriptions, resource groups, etc.
Understanding of Git workflows in software development.
Using Azure DevOps pipeline and repositories to deploy and maintain solutions.
Understanding of Ansible and how to use it in Azure DevOps pipelines.

Role

IT Support

Timings

Night Shift (Permanent)

Industry

IT-Hardware & Networking

Work Mode

Hybrid

Functional Area

IT Software/Hardware

Note: Myglit doesn't charge any money from candidates. If you have been asked to pay money to get this job then report to us immediately at support@myglit.com.

Immaculate Obiajulu

Recruiter - Gratitude Inc

NA, nigeria

0+ Followers

500+ Posts

View Profile

Interview Tips

Giving the VNA round?
What are the most important skills you acquired as a Soft Skills/VNA trainer?
How would you handle an irate customer?

Get the Best Jobs
on your Fingertips

130 - 150 Thousand p.m

Manila, Philippines

Details