Job Description

Remote, India



Are you excited about data and clouds? Do you like to be involved in solving complex business problems by creating advanced and innovative technical solutions like Gen AI and SaaS implementations?


If yes - please talk to us!


Join ABCloudz team -- we've been helping customers to modernize legacy applications, create new solutions, and manage data/applications/infrastructure for over 20 years. With close to 300 engineers and architects in 8 offices worldwide, ABCloudz is considered as one of the best companies in the world for database and application migrations and modernizations having absolutely unique expertise in developing migration software for Microsoft and AWS. Taking care of data for customers to make sure it's secure, available, consistent and managed in a cost-effective manner with mitigated risks -- this is in our DNA. So if you enjoy working with data and considering what's your next career move, we'll be thrilled to talk to you!


We are seeking a skilled Data Engineer to join our data and analytics team. This role is responsible for designing, building, and maintaining reliable data pipelines and supporting reporting efforts through detailed analysis of data warehouse and reporting logic. The ideal candidate will have experience working across multiple platforms including Azure Data Factory, Databricks, SSIS, and SQL Server.


Key Responsibilities:


Design, build, and maintain data extraction and transformation pipelines across structured and semi-structured sources.
Develop and manage workflows using Azure Data Factory (ADF), Databricks, and SSIS.


Analyze existing EDW report logic to support accurate data transformations and reporting outcomes.


Ensure high data quality, integrity, and consistency across platforms


Collaborate with report developers, business analysts, and data architects to understand data requirements.


Troubleshoot data issues and optimize pipeline performance.


Document pipeline workflows, logic, and design decisions for long-term maintainability.


Required Qualifications:


Proven experience with SQL Server (including writing and optimizing complex queries).
Hands-on experience with Azure Data Factory and Databricks.


Experience developing and supporting SSIS packages.


Familiarity with analyzing report logic in EDW or BI environments.


Strong understanding of data integration, transformation, and data warehouse design principles.


Excellent problem-solving skills and attention to detail.


Ability to communicate technical concepts clearly to both technical and non-technical audiences.


Preferred Qualifications:


Experience with source control and CI/CD in a data engineering context.
Exposure to modern data lake or lakehouse architectures.


Understanding of data governance and security best practices.