Our client is seeking a knowledgeable and dependable Data Engineer to join their team. This role will be instrumental in designing, building, and maintaining scalable data pipelines and infrastructure to support their data-driven initiatives and analytics. The successful candidate will have a strong background in data architecture, ETL processes, and database management.
What you'll do:
As a Data Engineer, your role will be pivotal in supporting the company's data-driven initiatives. You will be responsible for gathering data from various sources, transforming it into a usable format, designing efficient data pipelines, managing databases, building data warehouses, developing ETL processes, ensuring data quality, and collaborating with other team members. Your expertise in these areas will contribute significantly to the company's growth.
- Clean, preprocess, and transform raw data into a usable format for analysis and reporting.
- Design and maintain data pipelines for efficient and automated data processing.
- Administer and maintain our databases, ensuring data accuracy, security, and availability.
- Build and manage data warehouses for storage and easy access to business-critical data.
- Develop and optimize Extract, Transform, Load (ETL) processes for efficient data movement.
- Implement data quality checks to ensure data accuracy and consistency.
- Work closely with data scientists, analysts, and other stakeholders to understand data requirements.
What you bring:
The ideal candidate for this Data Engineer position brings a wealth of experience in the field. With at least 2 years of direct experience under your belt, you are proficient in SQL and familiar with relational databases like MySQL. Your skills extend to ETL processes where you have used tools like Fivetran. You have worked with big data technologies such as Hadoop or Spark and have experience with cloud-based platforms. Your understanding of warehousing concepts is solid with hands-on experience in solutions like Snowflake or Databricks. You are also comfortable using scripting languages like Python for data processing and automation. Lastly, your knowledge of data modelling, schema design, and data architecture principles sets you apart.
- Minimum 2 years of direct experience as a Data Engineer.
- Strong proficiency in SQL and experience with relational databases such as MySQL.
- Proficiency in ETL processes and tools like Fivetran.
- Experience with big data technologies like Hadoop or Spark.
- Experience with cloud-based data platforms such as AWS or Google Cloud is a plus.
- Understanding of data warehousing concepts with experience in solutions like Snowflake or Databricks.
- Experience with scripting languages like Python for data processing and automation.
- Knowledge of data modelling, schema design, and data architecture principles.
What sets this company apart:
Our client is a leading company that values collaboration, understanding, and commitment. They offer flexible working opportunities and generous pensions contributions. They are known for their supportive leadership and commitment to providing training opportunities for their employees. This is an excellent opportunity to join a team that values your skills and offers opportunities for growth.
What's next:
Ready to take the next step in your career? Apply now!
Apply today by clicking on the link!
Do note that we will only be in touch if your application is shortlisted.
Agensi Pekerjaan Robert Walters Sdn Bhd
Business Registration Number : 729828-T
Licence Number : JTKSM 423C
