Big Data Engineer

5 months ago


Jakarta, Indonesia VLink Inc Full time

Since our founding in 2007 in US and VLink Consulting Indonesia (VCI) established in 2018, VLink is truly in a class of our own for our ability to deliver on all points important to our valued customers. We are an end-to-end global partner that provides consultative to coding services. Our delivery model, based on our global presence in North America and APAC regions, provides IT services and strategic workforce solutions. Our engineering mindset enables us to swiftly create affordable and tailored solutions for our customers - large and small.
Develop and implement pipelines that extract, transform, and load data into an information product that helps the organization reach its strategic goals

Focus on ingesting, storing, processing, and analyzing large datasets

Create scalable, high-performance web services for tracking data

Translate complex technical and functional requirements into detailed designs

Investigate alternatives for data storing and processing to ensure implementation of the most streamlined solutions

Serve as a mentor for junior staff members by conducting technical training sessions and reviewing project outputs
Min Bachelor Degree in computer science, mathematics, or engineering (related)

Min have 5-7 years of exprience as Big Data Engineer

Expertise in ETL methodology for corporate-wide solution design using DataStage

Experience with Python, Spark, and Hive

Understanding of data-warehousing and data-modeling techniques

Knowledge of industry-wide visualization and analytics tools (ex: Tableau, R)

Strong data engineering skills with Azure cloud platform

Experience with streaming frameworks such as Kafka

Knowledge of Core Java, Linux, SQL, and any scripting language

Good interpersonal skills and positive attitude

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 datasets.

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.

Working knowledge of message queuing, stream processing, and highly scalable ‘big data’ data stores.

Strong Agile project management and organizational skills.

Experience supporting and working with cross-functional teams in a dynamic environment.


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