Data Engineer/Data Analyst

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Exasoft
Jawa Tengah
IDR 200,000,000 - 300,000,000
Be among the first applicants.
3 days ago
Job description

We are seeking a highly skilled Data Engineer/Data Analyst with expertise in Data Science to join our team in the financial sector. The ideal candidate will have a strong foundation in data engineering, data analysis, and data science, with a proven ability to generate insights and deliver meaningful visualizations. You will be responsible for gathering, analyzing, and interpreting large datasets to support business decision-making processes and drive operational efficiency.

Key Responsibilities

  • Design, develop, and maintain data pipelines using PySpark, Python, and other data processing tools.
  • Perform data extraction, transformation, and loading (ETL) using Hive, Teradata, and similar technologies.
  • Analyze large datasets to derive actionable insights, trends, and patterns relevant to business needs.
  • Develop and maintain interactive dashboards and reports using Tableau and Power BI.
  • Work closely with financial stakeholders to understand data needs and provide analytics solutions to improve business performance.
  • Collaborate with cross-functional teams to identify business opportunities and optimize data-driven decision-making.
  • Ensure data integrity and security while adhering to industry best practices.

Required Skills

  • PySpark and Python programming expertise.
  • Hands-on experience with Hive, Teradata, and SQL-based data warehousing solutions.
  • Proficiency in Tableau and Power BI for data visualization and reporting.
  • Strong knowledge of Data Science concepts, including statistical analysis, machine learning, and predictive modeling.
  • Ability to gather insights from complex datasets and present findings to both technical and non-technical stakeholders.
  • Experience with financial sector data and knowledge of financial industry regulations.
  • Excellent communication skills and attention to detail.

Qualifications

  • Bachelor's degree in Computer Science, Data Science, Engineering, or a related field.
  • 3-6 years of experience in data analysis, data engineering, and data science.
  • Previous experience in the financial sector is highly desirable.
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