Data Engineer

2 weeks ago


Singapur, Singapore Unison Consulting Pte Ltd Full time
Job Title: Data Engineer

We are seeking a highly skilled Data Engineer to join our team at Unison Consulting Pte Ltd. As a Data Engineer, you will play a crucial role in designing, developing, and optimizing big data solutions using Apache Spark, Scala, and Elasticsearch.

Key Responsibilities:
  • 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
  • Optimize data engineering workflows for containerized deployment and efficient resource utilization
  • Collaborate with DevOps teams to streamline deployment processes, implement CI/CD pipelines, and ensure platform stability
  • Implement data governance practices, data lineage, and metadata management to ensure data accuracy, traceability, and compliance
  • Monitor and optimize data pipeline performance, troubleshoot issues, and implement necessary enhancements
  • Implement monitoring and logging mechanisms to ensure the health, availability, and performance of the data infrastructure
  • Document data engineering processes, workflows, and infrastructure configurations for knowledge sharing and reference
Requirements:
  1. More than 5 years of experience as a Data Engineer
  2. Bachelor's or Master's degree in Computer Science, Software Engineering, or a related discipline
  3. Possession of Quantexa certification as a Data Engineer or Data Architect, with proficiency in the tool
  4. Demonstrated experience as a Data Engineer, utilizing Hadoop, Spark, and data processing technologies in large-scale environments
  5. Expertise in the Scala programming language and familiarity with functional programming principles
  6. Prior experience with the Quantexa tool is highly desirable
  7. Comprehensive understanding of Apache Spark architecture, including RDDs, DataFrames, and Spark SQL
  8. Advanced proficiency in designing and developing data infrastructure utilizing Hadoop, Spark, and associated tools (HDFS, Hive, Pig, etc.)
  9. Experience with containerization platforms such as OpenShift Container Platform (OCP) and container orchestration via Kubernetes
  10. Proficiency in programming languages commonly employed in data engineering, including Spark, Python, Scala, or Java
  11. Knowledge of DevOps methodologies, CI/CD pipelines, and infrastructure automation tools (e.g., Docker, Jenkins, Ansible, BitBucket)
  12. Experience with Graphana, Prometheus, and Splunk will be considered an added advantage
  13. Background in integrating and utilizing Elasticsearch for data indexing and search applications
  14. Solid understanding of Elasticsearch data modeling, indexing strategies, and query optimization techniques
  15. Experience with distributed computing, parallel processing, and handling large datasets
  16. Proficient in performance tuning and optimization methods for Spark applications and Elasticsearch queries
  17. Strong problem-solving and analytical capabilities with the capacity to debug and resolve intricate issues
  18. Familiarity with version control systems (e.g., Git) and collaborative development environments

Unison Consulting Pte Ltd is an equal opportunities employer and welcomes applications from all qualified candidates. We offer a competitive salary and benefits package, as well as opportunities for professional growth and development.


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