Lead Data Engineer

JOB DESCRIPTIONS:

• Create and Develop data ingestion from various sources: RDBMS, Rest API, Kafka, Text File, and Spread sheet Design, develop, optimize, and maintain data architecture and pipelines
• Work with Core Data Engineering / Data Warehousing team to utilize existing frameworks for the implantation of these data pipelines
• Create and Develop data ingestion from various sources: RDBMS Rest API, Kafka, Text File, and Spread sheet Design, develop, optimize, and maintain data architecture and pipelines
• Drive the prioritization, strategy, and focus to solve user problems
• Maintaining and optimizing Data Pipelines
• Participate in code reviews and follow best practices for development and documentation data Pipelines
• Continuously learn and adapt to new technologies and methodologies within the Data Engineering landscape

REQUIREMENTS:

• Having experiences as a Data Engineer or Data Analyst (min. 4 years)
• Excellent command of programming languages, preferably in Python 
• Experience in managing a serverless data warehouse like BigQuery or Redshift
• Familiarity with schedulers like Airflow & Airbyte
• Have experience working with Github and Docker
• Deep knowledge of SQL database design (MySQL, Redshift, PostgreSQL)
• Understand how to optimize data retrieval and how to develop dashboards, reports, and other visualizations for stakeholders
• Good communication skills to work across departments
• WFO: Lion Parcel Head Office (Kedoya, West Jakarta)

• Python
• SQL Server
• Airflow
• Redshift

At Lion Parcel, we are collaborative, fast paced, innovative, open and progressive.

Benefits and perks of working with us include:

Compensation: Competitive salaries
Family benefits: Paid maternity / paternity leave
Lifestyle: Casual dress code, Company outings, Flexible hours, Free food, Hybrid
Progression: Professional development
Welfare: Employee discounts, Health insurance, Paid sick days