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Sertis is a leading Data and AI company based in the heart of Bangkok. We provide both off-the-shelf and customised solutions for our clients ranging from data infrastructure, BI development, and data-driven business insights to forecasting, optimization, and computer vision. Our expert team of data and AI consultants work closely with clients, across different industries such as retail, manufacturing, banking, energy, airlines, agriculture, and healthcare, to understand their business needs and deliver bespoke solutions using cutting-edge technologies that are just right for them. Our aim is to be one of the leading Data and AI companies globally, where a diverse mix of talent want to come, stay, and do their best work. We pride ourselves on bringing not only the best, but also nice, talent from around the World. We recognise that our company runs on our people's hard work and dedication while maintaining a culture that encourages learning, growth opportunity, innovative contribution, and a sense of ownership. For more information, please visit: https://www.sertiscorp.com/ About the Job We are seeking a Senior Data Solutions Engineer to join our growing team. The ideal candidate will be a highly motivated and experienced data professional with a strong technical background in data engineering, data architecture and cloud. As a Senior Data Solutions Engineer, you will play a crucial role in designing and implementing data solutions that drive business value, help us make data-driven decisions, and improve customer experiences. What are the responsibilities of a Senior Data Solutions Engineer?In this role, you will get to: Collaborate with cross-functional teams to understand business needs and design data solutions aligned with those requirements. Design and build scalable data pipelines for ingesting, processing, and storing large data volumes. Manipulate complex data from various sources like APIs, SFTP, Databases, SAP, Google Analytics, etc. Ensure data quality, precision, and completeness through validation and error handling processes. Maintain and monitor existing ETL pipelines, offering insights into necessary infrastructure improvements. Implement security measures and access controls for sensitive data protection and regulatory compliance (PDPA). Share expertise with the team, mentoring junior/mid-level members via code reviews, workshops, and knowledge-sharing. Participate in recruitment, evaluating candidates and enhancing recruitment processes. Gather customer requirements pre-sales, define scope, create technical diagrams, and estimate workdays and cloud costs. Develop and maintain technical documentation. Requirements for this role are: Minimum 5 years of Data engineering experience, including cloud infrastructure design (AWS, GCP, Azure). Proficiency in programming languages like Python, Java, or Scala (Python preferred). Familiarity with cloud-based data lake solutions (S3, GCS, Data Lake Storage) and experience with data lake architectures. Proficiency with data warehousing tools (Redshift, Synapse, BigQuery) and performance optimization for large datasets. In-depth understanding and experience with big data technologies (Hadoop, Spark, Hive, preferably Spark). Expertise in crafting efficient ETL pipelines from diverse data sources, ensuring data quality through integration and transformation. Collaboration with orchestration tools like Airflow, AWS Step Functions, or Azure Data Factory. Efficient SQL query skills for data extraction and transformation, including query optimization and distributed execution models (preference for Spark). Familiarity with CI/CD and Infrastructure as Code, using tools like Terraform, AWS CDK, Github pipelines, Gitlab CI. Strong problem-solving skills in a fast-paced, collaborative environment. Project scoping, architecture design, and technology selection based on project requirements. Demonstrated leadership skills, including mentoring junior and mid-level Data engineers. It’s nice if you have experience with: Holding certifications related to data engineering of cloud providers such GCP Data engineering, etc Working on multiple projects simultaneously Data streaming technologies and data integration with streaming data sources Docker and experience deploying and managing containerized data solutions Implementing PDPA process Optimizing cloud costs through various strategies DevOps and continuous integration/continuous delivery (CI/CD) practices Gathering customer requirements and estimating project scope during pre-sales interactions Agile methodologies (e.g. Scrum, Kanban) Who excels in this role? Someone who loves getting things done! Open-minded - eager to ask for comments/suggestions for improvement Passionate for anything and everything data Able to share and suggest ideas Love doing tons of research Have a can-do and will-do attitude! Ready to tackle any challenges What are some of the benefits of working at Sertis? Hybrid working environment Up early or slow starter in the morning? We have flexible office hours Mentorship programs for every level; from executive-level coaching to fresh grad Learning support- to help you build your skillset and grow your career Get to work and learn from the best in the industry, and share your ideas with like-minded individuals We cultivate intelligence and learning so that our experts can become community leaders in their respected fields in the tech industry Amazing colleagues to enjoy company social outings, parties, and events Result-oriented workplace; We provide direction, not orders and give you the autonomy to deliver your best work We work at the frontier of innovation in the AI industry Work on meaningful solutions that solve and improve real-life problems and challenges We run like a startup, and embrace the adventure; we focus on getting things done, while still having a down-to-earth and informal culture This is your chance to build your career in a growing data-driven industry. APPLY NOW!
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