Data Engineer at Funding Societies Modalku Group

Kuala Lumpur, Kuala Lumpur, Malaysia -

Full Time

Start Date

Immediate

Expiry Date

04 May, 26

Salary

0.0

Posted On

03 Feb, 26

Experience

2 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

Data Warehouse Design, Cloud Architecture, SQL Coding, ETL Pipelines, DWH Tuning, Data Analytics Support, Data Science Support, Scalable Data Pipelines, API Integrations, Data Modeling, Big Data Technologies, Root Cause Analysis, Airflow, Snowflake, Redshift, Python

Industry

Financial Services

Description

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 Time off - We would love you to take time off to rest and rejuvenate. We offer flexible paid vacations as well as many other observed holidays by country. We also like to have our people take a day off for special days like birthdays and work anniversaries. Flexible working - We believe in giving back the control of work & life to our people. We trust our people and love to provide the space to accommodate each and everyone's working style and personal life. Medical benefits - We offer health insurance coverage for our employees and dependents. Our people focus on our mission knowing we have their backs for their loved ones too. Mental health and wellness - We understand that our team productivity is directly linked to our mental and physical health. Hence we organize org-wide fitness initiatives and engage partners to provide well-being coaching. Tech support - We provide a company laptop for our employees and the best possible support for the right equipment/tools to enable high productivity Interested to know more about us? Learn about our Stories here

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Responsibilities

Develops and maintains scalable data pipelines and builds new API integrations to handle increasing data volume and complexity. Collaborates with analytics and business teams to enhance data models feeding business intelligence tools to improve data accessibility and drive data-driven decisions.