Creative Chaos

Builds MVPs for startups and enterprises

Data Engineer

Data EngineeringConfirmed live in the last 24 hours

Full-timeRemote in PakistanNo salary listed

About the Job

Requirements

A Bachelor's degree in Computer Science, Information Technology, or a related field is required.
At least 5 years of experience working as a Data Engineer, with a strong emphasis on Azure Data Lake, is required.
Proficiency in Azure Data Services, particularly Azure Data Lake Storage, Azure Data Factory, and Azure Synapse Analytics, is required.
Demonstrated experience with data modeling, extract, transform, and load (ETL) processes, and data warehousing solutions is required.
Strong programming skills in Python and SQL, and familiarity with Java or C#, are required.
The candidate must be able to communicate technical concepts clearly to non-technical stakeholders.
The candidate must be able to organize work, manage multiple priorities, and meet deadlines.

Responsibilities

Design and implement robust data pipeline solutions within Azure Data Lake.
Integrate and transform data from various sources to enable analytics and reporting.
Ensure data quality and integrity and implement data governance practices.
Collaborate with cross-functional teams to understand data requirements and develop scalable solutions.
Monitor and optimize data processing workflows for performance and reliability.
Document processes and architecture to support maintainability and scalability.
Stay current with Azure technologies and data engineering best practices.

Data Engineer

Creative Chaos · Pakistan (Remote) · Full-time · Posted 2026-03-31

Workplace: remote

Department: All Published Jobs

Description

We are seeking a highly skilled Data Engineer with extensive experience in Azure Data Lake to contribute to our dynamic team at Creative Chaos. The ideal candidate will be responsible for architecting, developing, and optimizing data pipelines that will facilitate the efficient processing of large datasets.

Responsibilities:

Designing and implementing robust data pipeline solutions within Azure Data Lake.
Integrating and transforming data from various sources to enable comprehensive analytics and reporting.
Ensuring data quality and integrity, implementing data governance practices.
Collaborating with cross-functional teams to understand data requirements and develop scalable solutions.
Monitoring and optimizing data processing workflows for performance and reliability.
Documenting processes and architecture to ensure maintainability and scalability.
Staying abreast of new Azure technologies and best practices for data engineering.

Requirements

The successful candidate will possess the following qualifications:

Bachelor's degree in Computer Science, Information Technology, or a related field.
A minimum of 5 years of experience working as a Data Engineer, with a strong emphasis on Azure Data Lake.
Proficiency in Azure Data Services, particularly Azure Data Lake Storage, Azure Data Factory, and Azure Synapse Analytics.
Demonstrated experience with data modeling, ETL processes, and data warehousing solutions.
Strong programming skills in Python, SQL, and familiar with Java or C#.
Excellent problem-solving skills and a detail-oriented approach to work.
Ability to communicate technical concepts clearly to non-technical stakeholders.
Strong organizational skills with the ability to manage multiple priorities and meet deadlines.

Benefits

Perks & benefits

Paid Time Off
Work From Home
Health Insurance
OPD
Training and Development

Apply

Apply at Creative Chaos

About the Company

Creative Chaos

Builds MVPs for startups and enterprises

Creative Chaos is an integrated technology innovation firm that builds MVPs for startups and Fortune 500 companies, focusing on web applications, mobile apps, and IoT. It uses an MVP Development Framework and a delivery-driven team to turn ideas into testable products quickly. The company operates globally with a network of offices and 300+ full-time associates, delivering full life-cycle technology implementations across multiple industries. Unlike many firms, its differentiation comes from its emphasis on grit, delivery excellence, and a proven MVP process that supports agile development. Its goal is to help startups and enterprises bring their ideas to life by turning concepts into validated, market-ready MVPs through rapid, iterative development.

Company size: 201-500
Company stage: Not listed
Total funding: Not listed
Headquarters: Everett, Massachusetts
Founded: 2000

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