Data Engineer Lead

About the Role - In today's data-driven world, effective data engineering plays a crucial role in enabling businesses to make informed decisions. As a data engineer, you will be responsible for gathering business requirements, integrating data sources, and designing scalable data models to support business intelligence (BI) initiatives. Your role will also involve developing data quality frameworks, optimizing data pipelines, and collaborating with cross-functional teams to resolve data-related challenges. To succeed in this role, you will need a strong foundation in SQL, data modeling, and big data technologies, along with experience in cloud platforms and a keen eye for problem-solving and collaboration.

What You Will Do

• Gather business requirements to support BI projects.
• Explore existing and new data sources and facilitate the integration to the Data Warehouse.
• Design and develop Data Quality Framework across Data Platform.
• Design, implement Data Model for enterprise data warehouse.
• Classifying data based Data Governance policy and Data Access Framework.
• Modify existing structured and unstructured data integration solutions for rapidly evolving business needs..
• Collaborate with a cross-functional team to resolve data quality and operational issues, as  well as delivering solutions to meet business needs.
• Create conceptual models and data flow diagrams.
• Participate with end users to gather requirements and consult on data integration solutions.
• Migrate code across environments and leverage a source code management system.
• Design, build, and optimize data pipelines, ETL processes, and data infrastructure in the field.
• Develop and maintain proper documentation for data pipeline and service.

What you will need

• Bachelor's or Master's degree in Computer Science, Engineering, Information Systems, or related fields.
• 2-5 years of experience in data engineering, software engineering, or a similar role.
• Solid understanding of SQL, database management systems, and data modeling concepts.
• Experience with big data technologies such as Hadoop, Spark, or Kafka.
• Hands-on experience with cloud platforms such as AWS, Azure, or Google Cloud Platform.
• Strong problem-solving skills and attention to detail.
• Ability to design and implement scalable data pipelines and ETL processes.
• Excellent communication and collaboration skills to work effectively with cross-functional teams.
• Deeper understanding of data engineering concept, programming language, and big data technology.

About GoTo GroupGoTo Group is the largest digital ecosystem in Indonesia with its mission to “Empower Progress’ by offering technological infrastructure and solutions for everyone to access and thrive in the digital economy. The GoTo ecosystem consists of on-demand transportation services, food and grocery delivery, logistics and fulfillment, as well as financial and payment services through the Gojek and GoTo Financial platforms.It is the first platform in Southeast Asia that hosts these crucial cases in a single ecosystem, capturing the majority of Indonesia’s vast consumer household.
About Gojek Gojek is Southeast Asia’s leading on-demand platform and pioneer of the multi-service ecosystem with over 2.5 million driver partners across the regions offering a wide range of services such as transportation, food delivery, logistics and more. With its mission to create impact at scale, Gojek is committed to resolving consumer problems and raising standards of living by connecting consumers to the best providers of goods and services in the market.
About GoTo FinancialGoTo Financial accelerates financial inclusion through its leading financial services and merchants solutions. Its consumer services include GoPay and GoPayLater and serve businesses of all sizes through Midtrans, Moka, GoBiz Plus, GoBiz, and Selly. With its trusted and inclusive ecosystem of products, GoTo Financial is open to new growth opportunities and aims to empower everyone to Make It Happen, Make It Together, Make It Last.
GoTo and its business units, including Gojek and GoToFinancial ("GoTo") only post job opportunities on our official channels on our respective company websites and on LinkedIn. GoTo is not liable for any job postings or job offers that did not originate from us. You should conduct your own due diligence to prevent being victims of any fake job scams, if they did not originate from GoTo's official recruitment channels.
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