Data Engineer - Data Warehouse

ID01 PT Traveloka Indonesia; Daerah Khusus Ibukota Jakarta; On-site; IDR 484.105.000 - 806.843.000; Full time

Job summary

A leading tech company is looking for a Data Engineer to build and maintain data warehouse platforms. The ideal candidate should have strong Python and SQL skills along with experience in data governance. You will design data pipelines, optimize workflows, and collaborate with a team of data professionals. This is a full-time role based in Jakarta, offering an engaging work environment focused on growth and collaboration.

Qualifications

• 3 to 4 years of experience in data engineering.
• Ability to design, develop and maintain data pipelines.
• Experience in data governance and quality management.

Responsibilities

• Build, govern, and maintain data warehouse platforms.
• Ensure data quality and governance.
• Design and optimize data processing workflows.

Skills

Fluent in Python

Advanced SQL

Familiarity with data warehouse environments

Handling ETL/ELT jobs

Data modeling skills

Knowledge of orchestration tools

Collaborative team player

Tools

Google BigQuery

AWS Redshift

Docker

Job description

Data Engineer - Data Warehouse page is loaded

Data Engineer - Data Warehouse

Apply locations Indonesia - Jakarta, Green Office Park 1 time type Full time posted on Posted 23 Days Ago job requisition id R0007371

It's fun to work in a company where people truly BELIEVE in what they're doing!

Job Description

• The Data Team at Traveloka consists of a diverse team of Data Analysts, Scientists and Engineers, working together as critical partners to the business. We proactively think about the needs of the customers and the business, anticipating customer needs and market trends. From our vantage point, we have a comprehensive view of our customers and serve their needs in a responsible, privacy-conscientious way. From AI/ML products to analytics to dashboards, reproducibility and full version control is a default in our systems so that you can easily learn from your teammates and build on foundations that have already been developed. Our collaborative team will ensure that you’re more productive than you’ve ever been.
  The data warehouse engineering team plays an important role in the data team. We build, govern and maintain data warehouse platforms and environments as the foundation and source for every data product created by data analysts and scientists.
  • Has 3 to 4 years working experiences in a similar/relevant area
  • Define data model convention and governance
  • Design, develop and maintain data pipelines (external data source ingestion jobs, ETL/ELT jobs, etc)
  • Design, develop and maintain data pipeline framework (combined open source and internal software to build and govern data pipelines)
  • Create and manage data pipelines infrastructures
  • Continuously seek ways to optimize existing data processing to be cost and time efficient
  • Ensure good data governance and quality through build monitoring systems to monitor data quality in data warehouse.

Requirements

• Fluent in Python and advanced-SQL
• Preferably familiar with data warehouse environments (eg: Google BigQuery, AWS Redshift, Snowflake)
• Preferably familiar with data transformation or processing framework (eg: dbt, Dataform, Spark, Hive, etc)
• Preferably familiar with data processing technology (Google Dataflow, Google Dataproc, etc)
• Preferably familiar with orchestration tool (eg: Airflow, Argo, Azkaban, etc)
• Understand data warehousing concept (eg: Kimball, Inmon, data vault, etc) and experience in data modeling and measure + improve data quality
• Preferably understand basic containerization and microservice concept (eg: Docker, Kubernetes)
• Having knowledge in machine learning, building robust API, and web development will be an advantage
• Able to build and maintain good relationship with stakeholders
• Able to translate business requirements to data warehouse modeling specifications
• Able to demonstrate creative problem solving skill
• A team player who loves to collaborate with others and can work independently when needed

If you like wild growth and working with happy, enthusiastic over-achievers, you'll enjoy your career with us!

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