Quantexa Data Engineer

Responsibilities: We are seeking a talented and experienced Data Engineer with expertise in Hadoop, Scala, Spark, Elastic, Open Shift Container Platform (OCP) and DevOps practices to join our team. As a Data Engineer, 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. Working experience with Quantexa software is a must. Responsibilities:Implement data transformation, aggregation, and enrichment processes to support various data analytics and machine learning initiativesCollaborate with cross-functional teams to understand data requirements and translate them into effective data engineering solutionsDesign, develop, and implement Spark Scala applications and data processing pipelines to process large volumes of structured and unstructured dataIntegrate Elasticsearch with Spark to enable efficient indexing, querying, and retrieval of dataOptimize and tune Spark jobs for performance and scalability, ensuring efficient data processing and indexing in ElasticsearchImplement data transformations, aggregations, and computations using Spark RDDs, DataFrames, and Datasets, and integrate them with ElasticsearchDevelop and maintain scalable and fault-tolerant Spark applications, adhering to industry best practices and coding standardsTroubleshoot and resolve issues related to data processing, performance, and data quality in the Spark-Elasticsearch integrationMonitor and analyze job performance metrics, identify bottlenecks, and propose optimizations in both Spark and Elasticsearch componentsEnsure data quality and integrity throughout the data processing lifecycleDesign and deploy data engineering solutions on OpenShift Container Platform (OCP) using containerization and orchestration techniquesRequirementsGood to 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 environmentsProficiency in Scala programming language and familiarity with functional programming conceptsExperience with Quantexa tool is highly preferred.In-depth understanding of Apache Spark architecture, RDDs, DataFrames, and Spark SQLStrong 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 KubernetesProficiency in programming languages commonly used in data engineering, such as Spark, Python, Scala, or JavaKnowledge 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 benefitExperience integrating and working with Elasticsearch for data indexing and search applicationsSolid understanding of Elasticsearch data modeling, indexing strategies, and query optimizationExperience with distributed computing, parallel processing, and working with large datasetsProficient in performance tuning and optimization techniques for Spark applications and Elasticsearch queriesStrong problem-solving and analytical skills with the ability to debug and resolve complex issuesFamiliarity with version control systems (e.g., Git) and collaborative development workflows

Responsibilities:

We are seeking a talented and experienced Data Engineer with expertise in Hadoop, Scala, Spark, Elastic, Open Shift Container Platform (OCP) and DevOps practices to join our team. As a Data Engineer, 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. Working experience with Quantexa software is a must.

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

Requirements

• Good to 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
• Solid understanding of Elasticsearch data modeling, indexing strategies, and query optimization
• Experience with distributed computing, parallel processing, and working with large datasets
• 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

Unison Consulting was launched in Singapore on September 2012, the hub of the financial industry, with innovative visions in the technocratic arena. We are a boutique next-generation Technology Company with strong business-interests in Liquidity risk, Market Risk, Credit Risk and Regulatory Compliance. Unison provides technology consulting and services to implement Risk Management and Risk Analytics System for Financial Institutions. Our services suite comprises of Techno-Functional consulting, systems integration, Business Intelligence, information management, and custom development of IT solutions, plus project management expertise for financial institutions. We have expertise in latest cutting edge technology to achieve better total cost of ownership. Through our qualified professionals, we assist you drive your unique risk management strategies, whether that means efficient monitoring, improving risk appetite of the financial institutions, complying with regulations, or capturing growth opportunities through innovation, this is what maximizes your decision taking potential. At Unison Consulting, we view clients as partners, and our success is only measured by the success of our partners. So we put it all on the table in order to exceed expectations. Our staff consists of young, energetic and innovative consultants who are never afraid to challenge the conventions and push the boundaries in an effort to help our clients. For every project, no matter how large or how small, we strive to not only meet your needs, but deliver a showcase in your field.

Unison Consulting was launched in Singapore on September 2012, the hub of the financial industry, with innovative visions in the technocratic arena. We are a boutique next-generation Technology Company with strong business-interests in Liquidity risk, Market Risk, Credit Risk and Regulatory Compliance. Unison provides technology consulting and services to implement Risk Management and Risk Analytics System for Financial Institutions.

Our services suite comprises of Techno-Functional consulting, systems integration, Business Intelligence, information management, and custom development of IT solutions, plus project management expertise for financial institutions. We have expertise in latest cutting edge technology to achieve better total cost of ownership. Through our qualified professionals, we assist you drive your unique risk management strategies, whether that means efficient monitoring, improving risk appetite of the financial institutions, complying with regulations, or capturing growth opportunities through innovation, this is what maximizes your decision taking potential.

At Unison Consulting, we view clients as partners, and our success is only measured by the success of our partners. So we put it all on the table in order to exceed expectations. Our staff consists of young, energetic and innovative consultants who are never afraid to challenge the conventions and push the boundaries in an effort to help our clients. For every project, no matter how large or how small, we strive to not only meet your needs, but deliver a showcase in your field.