Data Senior Analyst (DLP)

EVERSAFE ACADEMY PTE. LTD.; Singapore; On-site; SGD 80,000 - 120,000; Full time

Job summary

A data-focused company in Singapore is seeking an experienced professional to design, build, and maintain data pipelines. Candidates should have a Bachelor’s or Master’s degree in a relevant field, strong programming skills in Python, Java, or Scala, and at least 6 years of experience in data management. The role involves collaborating with data teams to ensure data quality and support decision-making processes. Competitive compensation and benefits are offered.

Qualifications

• At least 6 years of experience in data analysis, data interpretation, and data management.
• Implemented at least 4 programs with a data dashboard, data cleansing, and data synchronization.

Responsibilities

• Design, build, and maintain data pipelines for data transformation.
• Develop infrastructure to support data science initiatives.
• Ensure data quality and consistency across data sources.
• Collaborate with stakeholders to support data-driven decision-making.

Skills

Python

Java

Scala

SQL

NoSQL

Education

Bachelor’s or Master’s degree in computer science, data science, or a related field

Tools

Apache Airflow

AWS Glue

Azure Data Factory

Redshift

Snowflake

BigQuery

Hadoop

Spark

Flink

Job description

Responsibilities

• Design, build, and maintain data pipelines to move and transform data from various sources into a target location such as a data warehouse or data lake.
• Develop and maintain the infrastructure required to support data science initiatives, including data warehousing, ETL or ELT tools, and data integration solutions.
• Ensure data quality, accuracy, and consistency across multiple data sources.
• Work with data scientists, data analysts, and other stakeholders to understand data requirements and provide support for data-driven decision-making.

Qualifications

• Bachelor’s or Master’s degree in computer science, data science, or a related field.
• Strong programming skills in one or more languages such as Python, Java, or Scala.
• Strong experience with SQL, NoSQL, and data warehousing technologies such as Redshift, Snowflake or BigQuery.
• Experience with ETL tools such as Apache Airflow, AWS Glue, or Azure Data Factory.
• Familiarity with distributed computing frameworks such as Hadoop, Spark, or Flink.
• Knowledge of data modelling, data integration, and data quality concepts.
• Strong communication skills and ability to work collaboratively with cross-functional teams.

Experience

• At least 6 years of experience in data analysis, data interpretation, and data management.
• Implemented at least 4 programs with a data dashboard, data cleansing, and data synchronization.