Senior Big Data Developer

6 months ago

กรงเทพมหานคร, Thailand Sertis Full time

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.

**About the Job**:
**What are the responsibilities of a Senior Big Data Developer?**
**In this role, you will get to**:

- Collaborate with cross-functional teams to understand business requirements and design data solutions to meet those needs
- Design and build scalable data pipelines to ingest, process, and store large volumes of data
- Manipulate complex data from a variety of sources (e.g. API, SFTP, Databases, SAP, Google Analytics, etc.)
- Ensure data quality, accuracy, and completeness through data validation and error handling processes
- Maintain and monitor existing ETL pipelines and advising on necessary infrastructure changes
- Design and implement security and access control measures to protect sensitive data or comply with regulation such as PDPA
- Share your expertise across the team and mentor the junior/mid-level via code reviews, 1:1, workshops or knowledge sharing sessions, to enhance their technical skills and understanding of best practices
- Gather customer requirements during pre-sales interactions, determining project scope, creating technical diagrams, and making estimations for man-days and cloud costs
- Develop and maintain technical documentation

**Requirements for this role are**:

- 5+ years of experience in designing, building, maintaining data infrastructure in cloud environments such as AWS, GCP or Azure
- Strong programming skills in languages such as Python, Java, or Scala (Python preferred)
- Strong Experience with cloud based data lake solutions, such as S3, GCS or Data Lake Storage, and how to design and implement data lake architectures
- Strong Experience with data warehousing tools, such as Redshift, Synapse or BigQuery, and how to optimize data warehousing performance for large-scale data sets
- In-depth knowledge and hands-on experience with big data technologies such as Hadoop, Spark, and Hive (Spark preferred)
- Expertise in designing and implementing efficient ETL pipelines composed of a variety of data sources, and the ability to ensure data quality with a strong understanding of data integration and transformation techniques
- Experience working with orchestration tools such as Airflow, AWS Step functions or Azure Data Factory
- Ability to write efficient SQL queries for data extraction and transformation, demonstrating proficiency in optimizing query performance, understanding distributed query execution models, and utilizing advanced SQL concepts. (Spark preferred)
- Knowledge of CI/CD and Infrastructure as Code concepts, including experience with tools such as Terraform, AWS CDK, Github pipelines and Gitlab CI
- Excellent problem-solving skills and the ability to work well in a fast-paced, collaborative environment
- Ability to scope projects, define architectures, and choose technologies based on project requirements
- Leadership skills and ability to mentor 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

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