Finding the best job has never been easier
Applied Materials Data Engineer Entry-level Singapore, Singapore 591205230
Share
As aData Engineer, you will be responsible for:
Designing and implementing data solutions that meet business requirements. Also, it includes designing data schemas/data pipeline and systems to collect, manage and convert raw data into useful data system, improving data flow and acquisition processes, and integrating new data management technologies and software engineering tools into existing structures.
Developing, testing, and maintaining architectures, such as large-scale processing systems and databases. It includes optimizing data retrieval, implementing ETL (Extract, Transform, Load) processes, and ensuring consistent data delivery across multiple sources and platforms.
Managing and optimizing data storage through SQL and NoSQL databases, data lakes and data warehouses to ensure data is stored efficiently for easy retrieval and analysis.
Implementing data quality checks to ensure high quality and accuracy. Also, to ensure data accessibility for analytic and business intelligence purposes.
Collaborating with cross functional teams to ensure they have the necessary data to perform their duties effectively as well as to improve data flow efficiency and reliability.
Technical skills required:
Programming skills: Python, JAVA, or Scala
Expertise in SQL and experience with SQL database design
Experience with big data tools like Hadoop, Spark, Kafka, etc.
Knowledge of data modeling, data warehousing and building ETL (Extract, Transform, Load) pipelines.
Familiarity with cloud services like AWS, Azure, or Google Cloud.
Understanding of machine learning algorithms is a plus.
At the same time, as a
Data Analyst, you will be responsible for:
Collecting data from primary or secondary data sources and maintaining databases/data systems. Also, cleaning and pre-processing raw data from various source for data analysis. This includes dealing with missing values, outliers and transforming data into a usable format.
Using statistical techniques to analyze data and generate useful business insights. Also, it involves identifying, analyzing and interpreting trends and patterns in complex data sets.
Developing and maintaining interactive visual reports, dashboards and analytics using tools like Tableau, Power BI or excel.
Work with various departments to understand their data needs and provide insights.
Interpreting the data and turning analysis into actionable insights.
Technical skills required:
Proficiency in statistical analysis and statistical packages (like Python and R).
Experience in querying databases and use statistical computer language: SQL, Python, etc.
Experience with data visualization tools like Tableau, Power BI, etc.
Ability to articulate findings clearly to both technical and non-technical audiences.
Strong problem-solving skills and attention to detail.
Strong analytical skills with the ability to collect, organize, analyze, and disseminate significant amounts of information.
Bachelor Degree in Engineering or Data Analytics
These jobs might be a good fit
