Job closed.
Job Description
- Create and maintain optimal data pipeline architecture.
- Assemble large, complex data sets that meet functional / non-functional business requirements.
- Identify, design, and implement internal process improvements: automating manual processes, optimizing data delivery, re-designing infrastructure for greater scalability, etc.
- Build the infrastructure required for optimal extraction, transformation, and loading of data from a wide variety of data sources using SQL and AWS big data technologies.
- Build analytics tools that utilize the data pipeline to provide actionable insights into customer acquisition, operational efficiency and other key business performance metrics.
- Work with stakeholders including the Executive, Product, Data and Design teams to assist with data-related technical issues and support their data infrastructure needs.
Minimum Qualifications
- We are looking for candidate with 3+ years of experience in a Data Engineer role, who has attained a Graduate degree in Computer Science, Statistics, Informatics, Information Systems or another quantitative field.
- Experience with relational SQL and NoSQL databases, including MySQL, Postgres, AWS Redshift
- Experience with data pipeline and workflow management tools: Pentaho, AWS Glue
- Experience with object-oriented/object function scripting languages: Python, Javascript will be advantage
- Advanced working SQL knowledge and experience working with relational databases, query authoring (SQL) as well as working familiarity with a variety of databases.
- Experience building and optimizing big data data pipelines, architectures and data sets.
- Experience performing root cause analysis on internal and external data and processes to answer specific business questions and identify opportunities for improvement.
- Strong analytic skills related to working with unstructured data sets.
- Build processes supporting data transformation, data structures, metadata, dependency and workload management. A successful history of manipulating, processing and extracting value from large disconnected datasets.
Jobs Summary
- Job Level
- Mid-Senior Level / Manager
- Job Category
- IT and Software
- Educational Requirement
- Bachelor's degree graduate
- Recruiter response to application
- Once in a while
- Office Address
- 4, Mensa 2 Building, South Jakarta, DKI Jakarta, Indonesia
About Halodoc
Halodoc adalah startup Indonesia yang berupa aplikasi kesehatan seperti kotak P3K berjalan yang selalu di genggaman dengan memberikan kemudahan dalam menjaga dan memeriksa kesehatan kamu & keluarga.