Data Engineer

4 days ago

Kuala Lumpur, Kuala Lumpur, Malaysia Atomic Recruitment SEA Full time

Job Title: Data Engineer (Mid to Senior)

Key Responsibilities

  • Partner with product owners, managers, and engineers to define project scopes and shape Minimum Viable Products (MVPs).
  • Collaborate with cross-functional teams to design and implement big data solutions using technologies such as
    Databricks, Azure Data Factory, Spark, PySpark, Python
    , and
    SQL.
  • Architect and develop resilient, scalable data pipelines that source information from a wide variety of inputs, including databases, APIs, applications, and file-based structures across platforms like
    Snowflake, Azure Synapse, AWS Redshift,
    and
    GCP BigQuery.
  • Apply modern data architecture principles, such as microservices, event-driven design, and data lake patterns, to enhance scalability, performance, and long-term maintainability.
  • Conduct data mapping activities, document end-to-end data lineage, and ensure full traceability through tools like Azure Purview and Lakehouse Monitoring.

Education & Experience

  • Bachelor's degree in Computer Science or a related discipline.
  • At least 3-7 years of professional experience as a
    Data Engineer
    or in a closely related technical role
  • Proficiency in programming languages such as
    Python, Scala, or Java, with (hands-on Spark experience preferred).
  • Strong understanding of relational and
    NoSQL databases,
    including data modeling and advanced query writing.
  • Hands-on experience with Big Data frameworks like
    Databricks, Azure Data Factory, Spark, and PySpark.
  • Exposure to major cloud platforms such as
    Azure, AWS, or GCP.
  • Experience building large-scale distributed systems, robust data pipelines, and advanced data processing workflows.
  • Familiarity with cloud data warehouse technologies (Snowflake, Azure Synapse, AWS Redshift, or GCP BigQuery).
  • Knowledge of CI/CD practices and IaC tools is an added advantage.

Skills & Abilities

  • Strong analytical mindset
    with the ability to
    interpret and visualize complex datasets.
  • Genuine interest in Big Data technologies and modern data engineering ecosystems.
  • Passion for leveraging data to drive insights, influence decisions, and craft compelling narratives.
  • Ability to break down highly technical topics into language understood by non-technical stakeholders.
  • Excellent collaboration skills and the ability to build strong relationships across teams.
  • Working knowledge of data governance practices, data quality frameworks, and industry standards.

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