Data Engineer

Data Engineer at Samsung Electronics scores 10 out of 100 on AI centrality, which makes it AI Level 1 of 4 (Little AI) on this board. The level measures how much of the work is AI, not seniority.

Science Hub Tower 2, Manila, Philippinesmid

AI in this role

Design and maintain scalable big data pipelines, data warehouses, and ETL processes to support data-driven initiatives.

pythonjavascalaapache-sparkhadoopaws-glueapache-airflowamazon-redshiftgoogle-bigquerykubernetestableau

etldata-engineeringbig-datasqldata-pipelines

Position Summary

We are seeking a skilled and experienced Data Engineer to join our team for a cutting-edge Big Data Project. The ideal candidate will be responsible for designing, developing, and maintaining scalable and efficient data pipelines and infrastructure to support our data-driven initiatives. This role requires a strong technical background in big data technologies and data engineering best practices.

Role and Responsibilities

Duties & Responsibilities:

Responsibilities Include:
• Implement, maintain and evolve cloud-based Big Data products and services
• Responsible for designing, implementing, testing, and maintaining ETL processes for Analytics and Business Intelligence Systems
• Analyze data warehouses and suggest optimizations to SQL Queries used for Business Intelligence reporting
• Modify structured and unstructured data to provide meaningful reports to business
• Write large amounts of code, perform code reviews, write unit tests
• Write documentation
• Interface with other groups including Product Management, QA and Operations
• Create quick proof-of-concept prototypes
• Participate in an agile team

Work Experience:

At least 2 years relevant work experience

Skills & Competencies:

• Working experience in software development using Java, Scala, or Python is a must
• Extensive experience in implementing scalable and reliable ETL pipelines using Big Data Technologies such as Apache Spark, Hadoop, AWS Glue
• Experience transforming data in various formats ( JSON,CSV, PARQUET, YAML, Avro, Orc)
• Experience managing and scheduling workflows (Apache Airflow experience is preferred)
• Experience with working on SQL Databases (Cloud Data Warehouses such as Amazon Redshift, Google BigQuery, and Data Lakes/Delta Lakes are preferred)
• Ability to analyze and simplify complex code and algorithms in Java, Scala or Python
• Ability to adapt and learn different technologies that best solves the problem regardless of whether it is written in Python, Java, Scala, etc.
• Ability to perform ad-hoc complex SQL queries and query optimization
• Team player with strong communication skills
• Desire to learn fast and pick up latest technologies and tools
• Experience with data visualization software (Tableau preferred) is a plus
• Experience with Kubernetes and Machine Learning is a plus

Skills and Qualifications

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Skills and AI tools this role asks for

EtlData EngineeringBig DataSqlData PipelinesPythonJavaScala

Questions you could be asked

Tell me about a project where etl was part of your work. What did you do?
Tell me about a project where data engineering was part of your work. What did you do?
Tell me about a project where big data was part of your work. What did you do?
Tell me about a project where sql was part of your work. What did you do?
Tell me about a project where data pipelines was part of your work. What did you do?

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