Senior Data Engineer

9 hours ago

Kuala Lumpur, Kuala Lumpur, Malaysia Averis Full time 120,000 - 240,000 per year

Position Summary:

As the Senior in Data Engineering, you will play a pivotal role in guiding our data engineering team, driving the design, development, and maintenance of scalable data architectures. You will collaborate with cross-functional teams to ensure that data solutions align with organizational goals, enabling data-driven decision-making.

Key Responsibilities:

  • Draw on your past expertise to provide technical design and architecture and design the appropriate modern data stack for our level of data maturity
  • Lead and mentor technical junior members of the team, enabling professional growth and learning
  • Data Infrastructure development
  • Design and implement robust, scalable and cost-optimized data pipelines across on premise and cloud infrastructure to collect, process, and store data from various sources.
  • Develop and maintain data pipelines and ETL processes to ensure the availability and integrity of data for analysis and modeling.
  • Build business relevant data lake and data warehouses to support a combination of management reporting for business end-users and data science development environment for data scientist end-users.
  • Build appropriate data governance processes and safeguards including access control and appropriate anonymization and masking.
  • Work with cloud infrastructure team who will provision necessary data related infrastructure.

Skills & Qualifications:

  • Bachelor's or Master's degree in Computer Science, Data Science, Statistics, or a related field.
  • Proven experience as a technical leader and practitioner, building and scaling data infrastructure in data engineering and/or data analytics roles and at least 6-8 years of experience in the software industry.
  • Excellent problem-solving and analytical skills, with the ability to approach complex business problems in a structured and logical manner.
  • Strong familiarity and expertise with the modern data engineering (eg. SQL, Hive, Airflow, dbt, Spark), data science (e.g., pandas, numpy, scikit-learn) and data visualization technologies (Tableau, Qlik, Looker or Apache Superset).
  • Strong communication and interpersonal skills, with the ability to collaborate effectively with cross-functional teams and present technical concepts to non-technical stakeholders.
  • Proven ability to lead and mentor a team, fostering a collaborative and innovative work environment.

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