- Lead data infrastructure development, covering ingestion, ETLs, storage, and consumption processes.
- Oversee end-to-end data solution development, from modeling and ETL to deployment and monitoring.
- Design and enhance ETL modules and data models to support operations and product usage.
- Collaborate with architects to align data models with business needs.
- Deliver data insights for product offerings and strategy.
- Ensure data quality, security, and compliance.
- Develop data products for actionable insights.
- Implement process improvements and mentor junior team members. knowledge, skills and experience
- 3-5 years of experience in data engineering with Python, Spark, Scala, and SQL.
- Proficiency in data ETL/ELT tools such as Airflow, AWS Glue, Azure Data Factory, etc.
- Strong experience in databases, data warehouses, and data modeling.
- Previous leadership experience in data engineering.
- Strong foundation in cloud data services and DataOps/DevOps principles.
- Familiarity with scripting languages, microservices, and cloud computing platforms.
- Expertise in BI tools and code/data versioning tools.
- Excellent communication, collaboration, and problem-solving skills. experience 4 years
skills Python, SQL, Postgres, MySQL, AWS, GCP
qualifications diploma or Bachelor's degree in Computer Science, Information Technology, or a related field
education Bachelor Degree -
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Data Engineering Team Lead AWS - Kuala Lumpur, Malaysia - Randstad Malaysia
Description
about the company
Pioneering marketing-tech in ASEAN, this firm's mission is to simplify and leverage data to connect with millions of ASEAN consumers. Specializing in Consumers, Media & E-Commerce, it leads innovation in the industry. Join the journey to redefine marketing-tech and unlock the full potential of data-driven insights
about the role
This position will involve seeking a strategic and experienced data engineering expert to join the expanding data team. As the Data Engineering Team Lead, you will have a crucial role in advancing efficient, scalable, and dependable data solutions. Your leadership will be instrumental in enhancing the data maturity and engineering environment.
about the job