Why Work for Us We Power the Nation. Make the most of your talents and develop products that can create impact on a national scale. We are an in-house software team, assembled to move with speed and deliver with quality.
We Build Reliable Solutions. For Customers, Company and Country. You will be part of the Digital Technology Team and together, you will innovate, create, and deploy digital products that will empower more than 3,800 employees within SP Group and improve the quality of life for the 1.6 million commercial, industrial and residential customers that SP Group serves. We build solutions that enable sustainable high quality lifestyles and help consumers save energy and cost, as well as supporting national goals for a sustainable livable city. Now, imagine the impact you can create.
What You\xe2\x80\x99ll Do:
Create and maintain multiple robust and high-performance data processing pipeline within Cloud, Private Data Centre and Hybrid data ecosystem
Assemble large, complex data sets from a wide variety of data sources
Collaborate with Data Scientist, Machine Learning Engineer, Business Analyst and Business users to derive actionable insights and reliable foresights into customer acquisition, operational efficiency and other key business performance metrics
Develop, deploy and maintain multiple microservices, rest API and reporting services
Design and implement internal processes to automate manual workflow, optimize data delivery and re-designing infrastructure for greater scalability, etc
Establish expertise in designing, analyzing and troubleshooting large-scale distributed systems
What You\xe2\x80\x99ll Need:
Experience building and operating large scale data lake and data warehouse
Experience with Hadoop ecosystem and big data tools, including Spark and Kafka
Experience with stream-processing systems including Spark-Streaming
Advance working experience with relational SQL and NoSQL databases, including Hive, Hbase and Postgres
Deep understanding in SQL and able to optimize data queries
Experience with object-oriented/object function scripting languages: Python, Java, Scala, etc
A successful history of manipulating, processing and extracting value from large disconnected datasets
Experience applying modern development principles (Scrum, TDD, continuous integration, and code reviews)
Bonus:
Experience with ETL tools such as Talend Big Data, Apache Nifi, etc
Experience working with Hortonworks Data Platform or Cloudera Data Platform
Experience with Metadata Management tools
Exposure to Data Governance processes and tools
Proven ability in supporting and working with cross-functional teams in a dynamic environment
Thank you for your interest in SP Group. You will be contacted if you are shortlisted for an interview.
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