Data Scientist | Arbeit Consultancy | Jakarta, Indonesia

Tech Junction Ltd; Jakarta Pusat; Vor Ort; IDR 167.400.000 - 290.160.000; Vollzeit

Zusammenfassung

Arbeit Consultancy in Jakarta, Indonesia, is seeking a Data Scientist to design, build, and maintain scalable data pipelines powering analytics and ML initiatives. You will work with modern cloud, big data, and data lakehouse technologies while collaborating with cross-functional teams to deliver actionable insights.

The ideal candidate has 1+ year of data-focused experience, strong Python/SQL skills, and hands-on experience with Spark, Hadoop, Kafka, and AWS.

Qualifikationen

• Bachelor's Degree in a relevant field.
• Minimum 1 year of professional Data Science/Data Engineering experience.
• Strong Python and SQL skills.
• Experience with Spark, Hadoop, Kafka, and Iceberg; cloud services (AWS) and Airflow.

Aufgaben

• Design, develop, and maintain scalable ETL/ELT pipelines.
• Build centralized data platforms using data lakehouse architectures.
• Develop data solutions using Python, SQL, Spark, Kafka.
• Collaborate with BI, Analytics, and Data Science teams for analytics-ready datasets.
• Optimize pipelines, queries, cloud resources, and performance.
• Implement data governance, quality, and security standards.
• Support data modeling and enterprise reporting.
• Automate data workflows to improve efficiency.
• Create and maintain data architecture documentation.
• Monitor data platform reliability and availability.

Kenntnisse

Python

SQL

Apache Spark

Hadoop

Kafka

Apache Iceberg

AWS

Airflow

Git

CI/CD

Jenkins

Ausbildung

Bachelor's Degree

Tools

Apache Spark

Hadoop

Kafka

Iceberg

AWS

Airflow

Git

Jenkins

Docker

Kubernetes

Jobbeschreibung

Job Title: Data Scientist | Arbeit Consultancy | Jakarta, Indonesia

Recruiting Company: Arbeit Consultancy

Job Location: Jakarta, Indonesia

Job Type: Full-Time

Additional Information

• Minimum Experience: 1+ Year
• Email Subject: Apply for - Data Scientist - Your Name
• Bachelor’s Degree Required
• Experience with Modern Data Engineering and Big Data Technologies Preferred

Position Summary

Arbeit Consultancy is seeking a Data Scientist with strong data engineering and analytics capabilities to help build scalable, data-driven solutions that support business intelligence, machine learning, and advanced analytics initiatives. This role offers the opportunity to work with modern cloud, big data, and data lakehouse technologies while collaborating with cross-functional teams to deliver high-quality, actionable insights.

Detailed Job Description

As a Data Scientist, you will be responsible for designing, developing, and maintaining robust data pipelines and centralized data platforms that power analytics and decision-making across the organization. You will work closely with BI, analytics, and data science teams to ensure the availability of reliable, high-quality, and modeling-ready datasets. The ideal candidate will possess strong expertise in Python, SQL, cloud technologies, and big data ecosystems, while also understanding modern data warehousing, governance, and automation practices. This position provides an excellent opportunity to work on large-scale data platforms, optimize data processing workflows, and contribute to innovative data initiatives within a fast-paced environment.

Key Responsibilities

• Design, develop, and maintain scalable ETL/ELT pipelines and data integration workflows.
• Build and manage centralized data platforms using modern data lakehouse architectures.
• Develop efficient data solutions utilizing Python, SQL, Spark, Kafka, and related technologies.
• Collaborate with BI, Analytics, and Data Science teams to deliver high-quality, analytics-ready datasets.
• Optimize data pipelines, database queries, cloud resources, and processing performance.
• Implement and maintain data quality, governance, security, and compliance standards.
• Support data modeling initiatives and enterprise reporting requirements.
• Automate data workflows and improve operational efficiency through best practices.
• Create and maintain technical documentation for data architecture and processes.
• Monitor and troubleshoot data platform performance, reliability, and availability.

Required Qualifications & Skills

• Bachelor’s Degree in Computer Science, Information Technology, Data Science, Engineering, Mathematics, Statistics, or a related field.
• Minimum 1 year of professional experience in Data Science, Data Engineering, or a related data-focused role.
• Strong programming skills in Python and advanced SQL.
• Hands-on experience with Apache Spark, Hadoop, Kafka, and Apache Iceberg.
• Experience working with AWS services including S3, Redshift, Glue, EC2, and EKS.
• Experience with Apache Airflow for workflow orchestration and automation.
• Solid understanding of Data Warehousing concepts and best practices.
• Knowledge of Dimensional Modeling, including Star Schema and Snowflake Schema designs.
• Familiarity with Git version control, CI/CD pipelines, and Jenkins.
• Strong analytical, troubleshooting, and problem-solving skills.
• Ability to work collaboratively within cross-functional technical teams.

Nice-to-Have Skills

• Experience with machine learning model deployment and MLOps practices.
• Knowledge of Data Lakehouse frameworks and modern analytics architectures.
• Familiarity with GDPR, UU PDP, and data governance frameworks.
• Experience with Docker, Kubernetes, and containerized data platforms.
• Exposure to real-time streaming data architectures and event-driven systems.

Recruitment Pro Tip

To stand out for modern Data Scientist roles, highlight hands-on projects involving Python, SQL, Spark, AWS, data pipelines, and large-scale datasets. Include measurable outcomes such as performance improvements, data processing volumes, automation achievements, or analytics results that demonstrate real business impact.