Data Engineer

2 weeks ago


Bengaluru, Karnataka, India MarketOne International (India) Full time

Who we are? MarketOne International is a global provider of marketing services helping companies identify new prospects, develop sales lead programs, and convert new business.


Our wide array of services includes contract database development, event recruitment, automated marketing, sales lead development, primary market research, and Lead Lifecycle Management.

MarketOne serves leading technology companies around the globe, including 8 of the 10 largest tech companies in the world.


With delivery capability across Europe, the Asia Pacific, and the Americas, MarketOne has fast become the go-to partner for large-scale, global marketing initiatives that rely on sophisticated demand generation programs.

Our corporate track record features fifteen consecutive years of growth and profitability. We are looking for an experienced Data Engineer to join a growing Data Services team.

As a data engineer you will be asked to build and maintain data integrations and develop and maintain ETL processes on the MarketOne SQL Server Platform.

The successful candidate will be a key partner in driving the future direction of Data Services here at MarketOne.

Must-Have:

  • Minimum 6 + years of relevant industrial experience required.
In-Depth Knowledge and experience with MS SQL Server and SSIS Advanced knowledge and experience using API's. Comfortable with data modelling concepts Knowledge of Azure Cloud Excellent verbal / written communication as well as organizational skills

Non-Essential but Desirable Skills:
C# or .NET development


Azure Data Factory Databricks Can develop dashboards in Power BI, Tableau, or similar BI tools Experience working with CRM, ERP or other Marketing tools as Data Sources.


Roles and Responsibilities Developing and maintaining Data Pipelines across a range of architectures using the Microsoft and Azure Data stacks.

Building integrations between the MarketOne database platforms and client systems. Writing advanced queries to transform data according to business requirements. Set up monitoring capabilities to scan for errors and alert the data services team. Addressing issues and optimizing existing implementations. Following existing coding standards and contributing to the development of team standards. Powered by JazzHR
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