Job Description
- Design, develop, and maintain ETL/ELT pipelines for data ingestion, transformation, and integration.
- Collaborate with business and analytics teams to define data requirements and translate them into technical solutions.
- Build and optimize data models to support BI tools, dashboards, and advanced analytics.
- Ensure data accuracy, consistency, and compliance with data governance policies.
- Automate data workflows and monitor pipeline performance for reliability and scalability.
- Work closely with data architects and functional teams to improve overall data ecosystem efficiency.
Requirements
- Bachelor’s degree in Information Technology, Information Systems, or a related field; Master’s degree is a plus.
- Experience in data engineering, data transformation, or data integration roles is a plus. Fresh Grad is welcome.
- Proven experience designing, developing, and maintaining ETL/ELT data pipelines for structured and semi-structured data using tools such as dbt, Informatica, Talend, or Apache Airflow.
- Hands-on experience working with cloud-based data platforms such as Snowflake, Databricks, Google BigQuery, Amazon Redshift, or Azure Synapse.
- Strong proficiency in SQL and practical experience with at least one programming language (e.g., Python, Scala, or Java) for automation and data manipulation.
- Demonstrated experience integrating and preparing data for Business Intelligence (BI) tools, such as Power BI, Qlik Sense, or Tableau, ensuring optimized data structures for visualization and analysis.
- Experience collaborating closely with business analysts, functional teams, and data consumers to translate business requirements into technical data solutions.
- Exposure to version control systems (Git) and CI/CD workflows, ideally within an Agile development environment.
Technical skills:
- SQL, Python, or Scala.
- TL/ELT tools (e.g., dbt, Informatica, Talend).
- Cloud data platforms (e.g., Snowflake, Databricks, BigQuery, Redshift).
- CI/CD and version control (e.g., Git, Jenkins)
Soft skills:
- Analytical Thinking Ability to interpret complex data processes, identify root causes of issues, and propose practical solutions.
- Business Acumen Understands business processes and can translate functional requirements into technical data solutions that add measurable value.
- Communication Skills Able to communicate clearly with both technical and non-technical stakeholders, including data architects, analysts, and business users.
- Collaboration & Teamwork Works effectively within cross-functional teams, fostering cooperation between IT, data, and business units.
- Problem-Solving Mindset Approaches challenges systematically, balancing technical precision with business needs.
- Attention to Detail Ensures data accuracy and consistency throughout transformation and integration processes.
- Continuous Learning Stays updated with emerging data technologies, engineering frameworks, and best practices.
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About PT.Japfa Comfeed Indonesia
Learn MorePT Japfa Comfeed Indonesia, Tbk adalah salah satu perusahaan agri-food terbesar dan terkemuka di tanah air. Kami adalah penghasil protein hewani berkualitas dan terpercaya, yang dengan setia melayani kebutuhan serta menjadi kebanggaan Indonesia sejak tahun 1975.
Industry
Agri-Food
Location
Jakarta Selatan, Indonesia
Company Size
– employees
Culture
Collaborative
Here, we work together to make the dream work
Quality
We put great emphasis on preserving the high existing standard of our products/services
Integrity
We uphold honesty and virtue in every single product/service we deliver
