Data Engineer

Job description

About Us

Upskills provides expert financial software consulting for investment banks and leading financial institutions in Asia Pacific, Middle East and Europe region. With a strong, Front to Back expertise of the cash and derivatives markets, coupled to an in-deep knowledge of financial markets technologies, we provide smart, business-wise and efficient solutions.

We are seeking a talented and experienced Spark Scala Developer with expertise in Elasticsearch to join our team. As a Spark Scala Developer, you will play a crucial role in designing, developing, and optimizing big data solutions using Apache Spark, Scala, and Elasticsearch. You will collaborate with cross-functional teams to build scalable and efficient data processing pipelines and search applications. Knowledge and experience in the Compliance / AML domain will be a plus.


  • 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
  • Collaborate with data engineers, data scientists, and other stakeholders to understand requirements and translate them into technical specifications and solutions
  • 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
  • Stay updated with emerging trends and advancements in the big data technologies space to ensure continuous improvement and innovation

Requirements Requirements:

  • Bachelors or Masters degree in Computer Science, Software Engineering, Information System or a related field
  • Strong experience in developing Spark applications. Experience with Spark Streaming is a plus
  • Proficiency in Scala programming language and familiarity with functional programming concepts
  • In-depth understanding of Apache Spark architecture, RDDs, DataFrames, and Spark SQL
  • Experience integrating and working with Elasticsearch for data indexing and search applications
  • Solid understanding of Elasticsearch data modeling, indexing strategies, and query optimization
  • Experience with distributed computing, parallel processing, and working with large datasets
  • Familiarity with big data technologies such as Hadoop, Hive, and HDFS
  • Proficient in performance tuning and optimization techniques for Spark applications and Elasticsearch queries
  • Strong problem-solving and analytical skills with the ability to debug and resolve complex issues
  • Familiarity with version control systems (e.g., Git) and collaborative development workflows
  • Excellent communication and teamwork skills with the ability to work effectively in cross-functional teams

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