Rackspace Technology (acquired Just Analytics)

Tóm tắt công việc

Primary responsibility of DE will be to lead the design, create and maintain optimal data pipelines assembling large, complex sets of data to meet non-functional and functional business requirements

JOB DESCRIPTION

Collaborate with customer to gather requirements and to understand their business processes.

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 Spark, SQL and Azure ‘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.

Use tools to deploy and monitor the performance of the systems in production.

Demonstrate knowledge and real-world experience on Big data technologies. A successful history of manipulating, processing and extracting value from large datasets.

Advanced working SQL knowledge and experience working with relational databases, query authoring (SQL) as well as working familiarity with a variety of databases.

Strong analytic skills related to working with unstructured datasets.

Experience building and optimizing ‘big data’ data pipelines, architectures and data sets. 

Flat Hierarchy

Flexible working hours & locations

Opportunities to collaborate with diversified team across APJ

Attractive Compensation & Benefits

Team of passionate people who love working with Data

REQUIREMENTS

We are looking for a candidate with 2+ years of experience in a Data Engineer role. They should also have experience using the following software/tools:

Experience with big data tools: Hadoop, Spark, Kafka, etc.

Experience with relational SQL databases such as Oracle, SQL Server, MySQL or Postgres.

Experience with data pipeline and workflow management tools: Azkaban, Luigi, Airflow, etc.

Experience with stream-processing systems: Storm, Spark-Streaming, etc.

Experience with object-oriented/object function scripting languages: Python, Java, C++, Scala, etc.

For senior data engineers also should have demonstrable experience in

Project management and organizational skills.

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

Good Academic track record preferred.

Some experience on visualization tools such as PowerBI/Tableau or other BI tools will be beneficial.

QUALIFICATIONS

Degree in Computer Science, Statistics, Informatics, Information Systems or another quantitative field

3-5 years of relevant experience.