âª
Set up, manage, and maintain the company’s data
analytics systems, including the operational data store, feature store, and
data warehouse, to support informed decision-making.
âª
Create and manage processes (ETL/ELT) for collecting,
cleaning, and transforming data from different sources.
âª
Build and improve data structures to support reporting,
advanced analytics, and machine learning projects.
âª
Ensure data queries run efficiently while keeping costs
low and making the best use of resources.
âª
Work closely with technology and data analytics teams to
develop customized data solutions and include machine learning insights.
âª
Set up and manage machine learning workflows to make
sure models run smoothly and reliably.
âª
Implement data quality checks, follow governance rules,
and enforce security to protect and control access to data.
âª
Automate tasks and improve processes using tools to
ensure stable and scalable data pipelines.
âª
Bachelor’s Degree in Computer Science, Data Science,
Information Technology, Engineering, or a related field.
âª
Professional Data Engineer Certification is a plus.
âª
Extensive knowledge of data warehousing concepts,
including dimensional modelling and data marts.
âª
Minimum of 5 years in data engineering, data architecture,
or a related field.
âª
Experience in leading data projects or teams is highly
desirable.
âª
Advanced proficiency in SQL and NoSQL with hands-on
experience creating complex queries and data transformations.
âª
Proven experience with cloud-based data engineering tools
such as Cloud Storage, Data flow, Cloud Composer, Cloud Functions, and AWS Glue.
âª
Strong familiarity with ETL/ELT tools (e.g., Apache Beam,
Apache Airflow, SSIS, Data flow, dbt) for building and maintaining data
pipelines.
âª
Proficient in scripting languages like Bash, Python, and
JavaScript to support automation and integration tasks.
âª
Skilled in managing and optimizing large datasets for
performance and cost-efficiency.
âª
Excellent communication skills with a demonstrated ability
to work collaboratively in cross-functional teams.
âª
Experience with cloud platforms such as AWS, Google Cloud
Platform, or Azure, particularly their data services (e.g., AWS S3, GCP
BigQuery).
iHub is a place where the brightest young minds can work together in a productive collaborative environment. We offer A-class office environment with everything you need to start a business so that you can focus on building up your own business and turn your dreams into reality with the help from our international network of experienced experts, mentors, entrepreneurs and investors. Using our global network which spans over 40 countries. We help young startup companies find international partners and investors to propel their businesses further. iHub is a place where dreams really come true when it comes to business.
