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Unison Group

Data Engineer (Quantexa)

Unison Group Singapore, Singapore

Business Consulting and Services · 11-50 employees

6 d ago
data-engineer Senior (5-10 yrs) Full-time Singapore
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About the role

The role involves designing and implementing scalable data processing pipelines using Spark and Elasticsearch to support analytics and machine learning initiatives. You will collaborate with cross-functional teams to optimize performance and ensure data quality across the entire data lifecycle.

What they look for

Data Engineering Apache Spark Scala Elasticsearch Quantexa Hadoop OpenShift Kubernetes Containerization Data Pipelines CI/CD DevOps Python Java Data Quality Machine Learning

Requirements

Candidates must hold a degree in Computer Science or a related field and possess proven experience in large-scale data engineering environments. Proficiency in Scala, Apache Spark, and Quantexa certification are essential requirements for this position.

Full description

  • Implement data transformation, aggregation, and enrichment processes to support various data analytics and machine learning initiatives
  • Collaborate with cross-functional teams to understand data requirements and translate them into effective data engineering solutions
  • Design, develop, and implement Spark Scala applications and data processing pipelines to process large volumes of structured and unstructured data
  • Integrate Elasticsearch with Spark to enable efficient indexing, querying, and retrieval of data
  • Optimize and tune Spark jobs for performance and scalability, ensuring efficient data processing and indexing in Elasticsearch
  • Implement data transformations, aggregations, and computations using Spark RDDs, DataFrames, and Datasets, and integrate them with Elasticsearch
  • Develop and maintain scalable and fault-tolerant Spark applications, adhering to industry best practices and coding standards
  • Troubleshoot and resolve issues related to data processing, performance, and data quality in the Spark-Elasticsearch integration
  • Monitor and analyze job performance metrics, identify bottlenecks, and propose optimizations in both Spark and Elasticsearch components
  • Ensure data quality and integrity throughout the data processing lifecycle
  • Design and deploy data engineering solutions on OpenShift Container Platform (OCP) using containerization and orchestration techniques
  • Bachelor's or Master's degree in Computer Science, Software Engineering, or a related field
  • Must be Quantexa certified data engineer / data architect and proficient with the software.
  • Proven experience as a Data Engineer, working with Hadoop, Spark, and data processing technologies in large-scale environments
  • Proficiency in Scala programming language and familiarity with functional programming concepts
  • Experience with Quantexa tool is highly preferred.
  • In-depth understanding of Apache Spark architecture, RDDs, DataFrames, and Spark SQL
  • Strong expertise in designing and developing data infrastructure using Hadoop, Spark, and related tools (HDFS, Hive, Pig, etc)
  • Experience with containerization platforms such as OpenShift Container Platform (OCP) and container orchestration using Kubernetes
  • Proficiency in programming languages commonly used in data engineering, such as Spark, Python, Scala, or Java
  • Knowledge of DevOps practices, CI/CD pipelines, and infrastructure automation tools (e.g., Docker, Jenkins, Ansible, BitBucket)
  • Experience with Graphana, Prometheus, Splunk will be an added benefit
  • Experience integrating and working with Elasticsearch for data indexing and search applications
  • Experience with Quantexa tool is highly preferred.
  • In-depth understanding of Apache Spark architecture, RDDs, DataFrames, and Spark SQL
  • Strong expertise in designing and developing data infrastructure using Hadoop, Spark, and related tools (HDFS, Hive, Pig, etc)

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