Job Description
Objectives of this role / About this job:
The Data Analytics Engineer Associate supports the development and day-to-day operation of data pipelines that provide reliable data for analytics and business operations. Working with senior engineers, you will help ingest, transform, and validate data using SQL, Python, and PySpark, monitor batch and streaming pipelines, and investigate data issues within clearly defined tasks.
This role is suitable for fresh graduates or candidates with up to two years of relevant experience who are interested in data engineering. You will gain hands-on experience with the team’s Google Cloud data stack, including BigQuery, Dataform, Google Cloud Storage, Managed Service for Apache Airflow, Managed Service for Apache Spark, Pub/Sub, and Datastream, with guidance and code reviews from experienced team members.
Responsibilities:
- Develop and maintain assigned batch ETL/ELT jobs using SQL, Python, and PySpark, following existing patterns and guidance from senior engineers.
- Support data ingestion from databases, APIs, files, and Google Workspace sources, including basic data cleansing, transformation, and source-to-target validation.
- Assist with the development and maintenance of streaming data pipelines using services such as Google Cloud Pub/Sub and Datastream, following established patterns and documented procedures.
- Implement and maintain data quality checks to identify missing, duplicate, invalid, or delayed data, and help investigate discrepancies.
- Monitor batch and streaming pipelines, data freshness, and pipeline health; review logs, troubleshoot routine issues, and escalate complex incidents with clear supporting information.
- Assist with approved reruns and data reprocessing following documented procedures and senior guidance.
- Prepare datasets for downstream analytics and reporting, and help maintain dashboards used to monitor pipeline status and data quality.
- Document data mappings, transformation logic, validation rules, and troubleshooting steps; use Git and participate in code reviews and testing before changes are released.
Skills Required
- Fresh graduate or up to two years of relevant experience
- Experience or interest in data engineering
- SQL, Python, and PySpark skills
- Ability to use Git and participate in code reviews and testing
What We Do
Finnomena is Thailand’s leading all-in-one digital wealth management platform for investors and financial advisors with over 100k investment accounts opened. "Ahead of the Game" Our management team has over 50 years of combined industry experience in global financial institutions like JP Morgan, Krungsri, Citi, CIMB Principal, UOB among others. We utilize our proprietary ML technology and a hybrid robo-advisory model to generate the above market returns and deliver an amazing tech-enabled user experience. We are the only fully integrated digital wealth management platform in the region that provides professionally generated investment content via our own investor’s knowledge hub (with over 30m in monthly views and >1.2m social media followers). We are different in our non-biased advisory approach by representing over 19 asset management companies and counting. Finnomena has achieved significant growth to date and is poised to scale rapidly; we recently raised a $10M Series B from reputed regional and local investors to further build and expand our business. Come join the fastest growing FinTech in Thailand! For more information please visit us at https://www.finnomena.com. Finnomena in News: https://www.techinasia.com/finnomena-bags-10m https://www.businesstimes.com.sg/asean-business/wealth-management-platform-finnomena-franklin-templeton-to-bring-investment-solutions
