Data Engineer job opportunity at Funding Societies | Modalku Group.



Date2026-02-10T09:51:37.526Z bot
Funding Societies | Modalku Group Data Engineer
Experience: 4-years
Pattern: Full-time
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degreeBachelor's (B.A.)
loacation West Jakarta, Indonesia
loacation West Jakarta....Indonesia

Funding Societies | Modalku is the largest SME digital finance platform in Southeast Asia. We are licensed and operating  in Singapore, Indonesia, Thailand, Malaysia and Vietnam, and backed by Sequoia India (Peak XV), Softbank Vision Fund, Khazanah and SMBC bank amongst many others. Funding Societies | Modalku provides business financing to small and medium-sized enterprises (SMEs), which is funded by individual and institutional investors, as well as payments solutions to SMEs and consumers. Here at Funding Societies | Modalku we live by our core values GETFS: Grow Relentlessly: Strive to become our best, most authentic selves. Enable Teamwork, Disable Politics: Only by forging togetherness, we help each other succeed. Test Measure Act: Stay curious and reinvent ourselves, through innovation and experimentation. Focus on Impact: Create impact through bias for action and tangible results. Serve with Obsession: Build win-win relationships for the long-term by having a customer obsession. We are seeking a passionate Data Engineer for the regional Data Team. This role requires you to Design/develop and implement a Data warehouse using Cloud architecture, setting up tools for capturing data from various sources into the central data warehouse. Writing SQL Code,building ETL pipelines, Tuning/Debugging DWH and Supporting Data Analytics and Data Science team. What you will do: Develops and maintains scalable data pipelines and builds out new API integrations to support continuing increases in data volume and complexity. Collaborates with analytics and business teams to improve data models that feed business intelligence tools, increasing data accessibility and fostering data-driven decision making across the organization. Build the infrastructure required for optimal extraction, transformation, and loading of data from a wide variety of data sources using SQL and AWS ‘big data’ technologies. Work with stakeholders including the Executive, Product, Data and Design teams to assist with data-related technical issues and support their data infrastructure needs. Bachelor's or master’s degree in technical or business discipline or related experience. 4+ years hands-on experience effectively managing data platforms, data tools and/or depth in data management technologies Advanced working SQL knowledge and experience working with relational databases, query authoring (SQL) as well as working familiarity with a variety of databases. Experience building and optimizing ‘big data’ data pipelines, architectures and data sets. Experience performing root cause analysis on internal and external data and processes to answer specific business questions and identify opportunities for improvement. Experience with orchestration tools like Airflow. Experience in Data Warehouse solutions like Snowflake,Redshift. Exposure to data visualization tools (Tableau, Sisense, Looker, Metabase etc.) Knowledge of Github, JIRA is a plus. Familiar with data warehouse & data governance  Experience developing software code in one or more programming languages (Java, JavaScript, Python, etc) is a plus.   Knowledge/Skills/Abilities/Behaviours A “build-test-measure-improve” mentality and are driven to motivate and lead teams to achieve impactful deliverables Passion for operational efficiency, quantitative performance metrics and process orientation Working knowledge of project planning methodologies, IT standards and guidelines. Customer passion, business focus and the ability to negotiate, facilitate and build consensus. The ability to promote a team environment across a large set of separate agile teams and stakeholders Experience with or knowledge of Agile Software Development methodologies

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