Senior Data Engineer

3 months ago


Jakarta, Indonesia Proxima Consulting Indonesia Full time

**Description**: The role will help create and manage the technological infrastructure of the company's data platform. You will be in-charge / involved in architecting, building, and managing data flows / pipelines and construct data storages (noSQL, SQL), and integration tools to connect sources or other databases. You will also be responsible for data features design and implementation and help manage all aspects of the data platform. This is a hands-on role for someone interested in working at a rapidly growing organization.

**Responsibilities**:

- Create and execute efficient, scalable, and dependable data pipelines utilizing Azure Data Factory.
- Utilize Azure Databricks for data transformation and processing.
- Effectively oversee and enhance data storage solutions, emphasizing Azure Data Lake and other Azure storage services.
- Construct and uphold workflows for data orchestration and scheduling using Azure Data Factory or equivalent tools.
- Translate functional specifications and change requests into technical specifications
- Translate business requirement document, functional specification, and technical specification to related coding
- Develop efficient code with unit testing and code documentation
- Setting up the development environment and configuration of the development tools
- Communicate with all the project stakeholders on the project status
- Manage, monitor, and ensure the security and privacy of data to satisfy business needs
- Contribute to the automation of modules, wherever required
- Co-ordinating with the UAT team

**Requirements**:

- 4+ years demonstrated expertise as a Data Engineer, specializing in Azure cloud services.
- Highly skilled in Azure Data Factory, Azure Data Lake, Azure Databricks, and Azure Synapse Analytics.
- Proficient in programming languages like Python, SQL, and conversant with pertinent scripting languages.
- Proficient in basic and advanced SQL programming concepts (Procedures, Analytical functions etc.)
- Good knowledge and understanding of Data warehouse concepts (Dimensional Modeling, change data capture, slowly changing dimensions, etc.)
- Knowledgeable in Shell / PowerShell scripting
- Knowledgeable in relational databases, nonrelational databases, data streams, and file stores
- Experience in Data Profiling and Data validation
- Knowledge in PowerBI or any BI tools will be an added advantage
- Proficient in written, verbal and presentation communication (English)

**Education**:

- S1 (preferred)

**Experience**:

- Azure: 2 years (required)
- Data Engineering: 4 years (required)

**Language**:

- English (required)



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