Latest Job Opportunity: Data Engineer
Location: Jakarta, Indonesia
Job Type: Full-Time
Contract Type: Permanent
Posted on: January 3, 2025
Job Requisition ID: R1077553
Brand: Merkle
About the Role:
We are looking for a Data Engineer to join our diverse and inclusive team at Merkle. In this role, you will be responsible for maintaining, improving, cleaning, and manipulating data across the business’s operational and analytics databases. You’ll collaborate with software engineers, data analytics teams, data scientists, and data warehouse engineers to implement database requirements, troubleshoot issues, and optimize performance. Working primarily with BigQuery, you will handle large datasets across online and offline sources. Additionally, you’ll create fast, dynamic dashboards using tools like Data Studio, Power BI, or Tableau, ensuring the lowest latency in data queries.
Key Responsibilities:
- Data Pipeline Creation & Maintenance: Develop and maintain efficient, scalable data pipelines for processing large datasets to meet business needs.
- Database Optimization: Focus on optimizing query performance and ensuring timely data delivery through low-latency queries in BigQuery.
- Process Improvements: Identify, design, and implement internal process improvements, including automating manual processes and optimizing data delivery.
- Analytics Tool Development: Build analytics tools that leverage data pipelines to provide insights into key business metrics like customer acquisition and operational efficiency.
- Collaboration with Teams: Work closely with stakeholders across Executive, Product, Data, and Design teams to assist with data-related technical issues and support data infrastructure needs.
- Data Security: Ensure data governance, security, and privacy by adhering to best practices in cloud environments.
- Data Visualization: Create dynamic dashboards using tools like Data Studio, Power BI, or Tableau to help business teams make data-driven decisions.
- Cross-functional Collaboration: Collaborate with analytics and data science teams to help optimize products and solutions using data insights.
Qualifications:
- Education: Bachelor’s degree in Computer Science, a related technical field, or practical experience in a data engineering role.
- Experience: At least 2 years of experience in data engineering, data management, and working with large datasets.
- Technical Expertise:
- Strong experience with Marketing Technology Platforms and Data Analytics.
- Proficient in building and optimizing SQL-based query processing engines.
- Experience with OLTP/OLAP systems, data lakes, data warehouses, and data marts.
- Knowledge in designing high-availability data architectures and scalable systems.
- Familiarity with query performance, data processing engines, and cloud environments.
- Strong understanding of data security, governance, and lineage.
- Collaboration: A collaborative mindset and ability to work hands-on with cross-functional teams to provide solutions.
- Proactive: Proactively identifies query performance issues and resolves challenges in complex, large datasets.
Dentsu Values:
- We Dream Loud
- We Inspire Change
- We Team Without Limits
- We All Lead
- We Make It Real
- We Climb High
- We Choose Excitement
- We Are A Force For Good
Inclusion and Diversity:
At Merkle, we are proud of our differences and embrace the individuality of our team. We believe in equal opportunities for everyone and encourage diversity in all forms. Whether you're joining us for the first time or transitioning to a different team, we work hard to ensure equal opportunities for all.
How to Apply:
Please include an updated CV with your application. Only shortlisted candidates will be notified. For more information, please visit our website or connect with us on social media.
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