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Open nowPosted 22 days ago

Data Engineer Trainee

MyCareersFuture94,028 open roles

Pay
SGD 3,000 – SGD 4,000 a month
Where
Central, Singapore
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Your applicationOpen nowData Engineer TraineeMyCareersFuture · Central, Singapore

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The clock on this job

Early applications get read.

7.7% of postings close within 7 days. Measured by our own scanner across the market.

Share of postings closed within
  1. 1.6%1 day
  2. 3.3%3 days
  3. 7.7%7 days
  4. 14.0%14 days
  5. 33.7%30 days
This job: posted 22 days ago

The posting

Key Responsibilities:

  • Engage in a comprehensive training program covering the latest technologies in Data Engineering, Cloud Platforms, and the Databricks Lakehouse ecosystem.
  • Collaborate with cross-functional teams to understand client data requirements and contribute to the design of scalable data pipelines and solutions.
  • Develop, test, and maintain ETL/ELT pipelines using Databricks, Apache Spark, and Delta Lake in accordance with industry best practices.
  • Assist in building and optimizing data ingestion, transformation, and orchestration workflows across structured and unstructured data sources.
  • Participate in code reviews, learning sessions, and workshops to continually enhance technical skills in data engineering and cloud technologies.
  • Work on real-world data projects that contribute to the success of Synechron's clients, including data modeling, pipeline automation, and performance tuning.
  • Support the implementation of data quality checks, governance standards, and monitoring practices within the Lakehouse architecture.
  • Receive mentorship from experienced professionals in the field of Data Engineering and Databricks.

Qualifications:

  • Recent graduate with a bachelor's or master's degree in computer science, data engineering, information systems, or a related field.
  • Strong understanding of computer science fundamentals, including algorithms, data structures, and database concepts.
  • Passionate about pursuing a career in Data Engineering and the Databricks/Big Data ecosystem.
  • Basic knowledge of programming languages such as Python, SQL, or Scala.
  • Familiarity with Apache Spark, Databricks, Delta Lake, or cloud platforms (Azure, AWS, or GCP) is a plus.
  • Understanding of data warehousing, ETL concepts, and distributed computing principles is advantageous.
  • Excellent analytical and problem-solving skills.
  • Strong communication and teamwork abilities.

What We Offer:

  • A dynamic and supportive training environment with a blend of technical learning and hands-on practical application using Databricks.
  • Exposure to cutting-edge data engineering technology and the opportunity to work on meaningful, large-scale data projects.
  • A clear career path post-training, with opportunities for advancement in Data Engineering, Cloud Data Architecture, or Analytics Engineering.
  • Competitive salary and benefits package.
  • A culture that values innovation, inclusivity, and continuous professional development.
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