Cloud Data Engineer

6 days ago


Jakarta, Indonesia Dentsu Aegis Network Full time

The purpose of this role is to maintain, improve, clean and manipulate data in the business’s operational and analytics databases. The Data Engineer works with the business’s software engineers, data analytics teams, data scientists and data warehouse engineers in order to understand and aid in the implementation of database requirements, analyse performance, and troubleshoot any existent issues.

Job Title:
Cloud Data Engineer

**Job Description**:
**Responsibilities**:

- Creates and maintains optimal data pipeline architecture
- Assembles large, complex data sets that meet functional / non-functional business requirements
- Identifies, designs and implements internal process improvements: automating manual processes, optimising data delivery, re-designing infrastructure for greater scalability, etc
- Builds analytics tools that utilise the data pipeline to provide actionable insights into customer acquisition, operational efficiency and other key business performance metrics
- Works with stakeholders including the Executive, Product, Data and Design teams to assist with data-related technical issues and support their data infrastructure needs
- Keeps our data separated and secure
- Creates data tools for analytics and data scientist team members that assist them in building and optimising our product into an innovative industry leader
- Works with data and analytics experts to strive for greater functionality in our data systems
- Handling datasets via streaming or batching, from online to offline data from on-prem
- Making the ‘fast dashboard’ in data visualization of the choice (Data Studio, PowerBI, or Tableau)
- Care about lowest latency data query to provide granular access to large datasets in BigQuery

**Qualifications**:

- Bachelor’s degree in Computer Science and/or a similar technical fields, or has practical experience
- You have minimum 1 years experience in data engineering and data management
- You are extremely familiar with Marketing Technology Platform and Data Analytics
- Technical experience with databases, query performance, data processing engines and systems
- Experience building a query processing engine for a SQL (structural data)
- Experience in building OLTP and/or complex analytic platform (OLAP, data-lake, data warehouse, and business-specific data-marts)
- Experience in building high availability data design and scale-out database architectures
- Well-understanding about enterprise workloads
- Understand about data security, data governance, data lineage, and how to secure the data in the cloud
- Passionate to collaborate and closely hands-on with cross-functional team to assist, help, and acknowledge them about the solution
- You know well before others about the query performance issues and how-to deal with those challenges in a complex and large dataset

**Location**:
Jakarta

Brand:
Merkle

Time Type:
Full time

Contract Type:
Freelancer


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