Data Engineer - Remote

Funding Societies | Modalku is the largest SME digital financing platform in Southeast Asia. We are licensed in Singapore, Indonesia, Thailand, and registered in Malaysia. We are backed by Sequoia India and Softbank Ventures Asia Corp amongst many others and provides business financing to small and medium-sized enterprises (SMEs), which is crowdfunded by individual and institutional investors. And here at Funding Societies | Modalku we live by our core values:

• Serve with Obsession: Build win-win relationships for the long-term by having a customer obsession.
• 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.
  

What will you do:

• Design, build, and maintain scalable data pipelines and ETL processes to extract, transform, and load data from various sources into our data warehouse.

• Collaborate with cross-functional teams to understand data requirements and design efficient data models, pipelines and schema.
• Optimize and tune database systems and queries for performance and scalability.
• Develop and implement data quality and governance processes to ensure data accuracy, consistency, and security.
• Evaluate and recommend new tools and technologies to enhance our data infrastructure and analytics capabilities.
• Troubleshoot and resolve data-related issues in a timely manner.
• Document data processes, workflows, and best practices for knowledge sharing and training purposes.
• Stay current with industry trends and best practices in data engineering and technology

Requirements

What we are looking for:

• Bachelor's degree in Computer Science, Engineering, or related field. 
• Proven experience as a Data Engineer or similar role, with a minimum of 2 years of relevant experience.
• Strong proficiency in SQL and experience working with relational and non-relational databases (e.g., PostgreSQL, MySQL, MongoDB, Snowflake etc.).
• Hands-on experience with data pipeline and ETL tools (e.g., Apache Spark, Apache Airflow).
• Proficiency in at least one programming language (e.g., Python, Java, Scala, etc.).
• Experience with cloud platforms and services (e.g., AWS) and familiarity with big data technologies i.e. Snowflake.
• Solid understanding of data warehousing concepts and methodologies.
• Strong analytical and problem-solving skills with the ability to translate business requirements into technical solutions.
• Excellent communication and collaboration skills with the ability to work effectively in a team environment.
• Attention to detail and a commitment to producing high-quality work.

Benefits

• 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 back 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 have Wellness Wednesdays and we engage partners to provide well-being coaching. And we have our Great FSMK Workout sessions too to keep everyone healthy and fit!
• Learning & Development: We believe learning should never end and we support everyone with curated learning programs on our internal learning platform
• Tech Support - We provide a company laptop for our employees and the best possible support for the right equipment/tools to enable high productivity