Total 1 Engineering job vacancies in dolopo madiun city

As a Data Pioneer, you are trusted to guide other adventurers through the database jungle. You will have to implement methods to improve data reliability and quality to make sure your team does not wind up lost. You will also be responsible to develop and test architectures that enable data extraction and transformation for predictive or prescriptive modeling.

Responsibilities :

• Create and maintain optimal data pipeline architecture
• Prepare data for prescriptive and predictive modeling
• Build the infrastructure required for optimal extraction, transformation, and loading of data from a wide variety of data sources.
• Assemble large, complex data sets that meet business requirements.
• Evaluate business needs and objectives
• Build analytics tools that utilize the data pipeline to provide actionable insights into customer acquisition, operational efficiency and other key business performance metrics.
• Explore ways to enhance data quality and reliability
• Able to tune and optimizing data processing
• Able to improve data quality and efficiency

• Bachelor’s degree in computer science, Information Technology, or related field.
• Proven experience in:
• Writing ETL code using python and spark
• Creating report using PowerBI or Quicksight
• Knowledge and handling database system such as SQL server, MySQL or Oracle
• Knowledge in windows and linux based server in cloud environments
• Strong scripting and automation skills (e.g., Python, Bash and PowerShell).
• Familiarity with CI/CD pipelines and version control systems (e.g., Git).
• Excellent problem-solving and troubleshooting skills.
• Strong communication and collaboration skills for both Bahasa Indonesia and English.
• Has minimum 1 years experience working with Azure or AWS services and architecture especially data related services (ADF, Databrick, Synapse, Glue, Redshift, Athena).

Preferred Qualifications:

• Azure / AWS Certified Data Engineer.
• Experience with other cloud providers (e.g., AWS, Google Cloud Platform).
• Advance Knowledge in data lifecycle (e.g. data governance, data modelling, data processing design)
• Experience with other data visualization tools (e.g., tableau)
• Experience in SAP is a plus
• Must be able to commute to the office locations

• Competitive salary
• 14 Days of annual leave
• BPJS & Private Health Insurance
• Various extracurricular activities (sports, music, etc.)
• Opportunity to work in Singapore Headquarter
• Young, dynamic and vibrant atmosphere
• All around snacks, drinks, coffee, tea and regular culinary day
• Located in the center of Bandung.

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