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
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
Bachelor's or Master's degree in Computer Science, Software Engineering, or a related field
At least 2 years relevant IT experience, preferably in a Compliance Domain of a Finance Institution.

Essential:

Must be Quantexa certified data engineer / data architect and proficient with the software.
You must be the experienced developer, with good experience in system integration/interfacing.
You will typically be assigned to work on specific projects and is expected to support the Application Delivery Manager (ADM) in all relevant technical matters, end-to-end, within the project.
Depending on the project, your duties may include coding, scripting, building new systems (where necessary) and interfaces. For new system build-up, you may need to environment support during SIT/UAT.
You are expected to ensure your work are adequately documented and transferred to the production team post-cutover.
You will be expected to work with the senior developers and system architect in formulating technical solutions that is fit for purpose for your assigned projects. The solution will need to satisfy all security, regulatory and architectural standards.
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
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
Excellent communication and teamwork skills with the ability to work effectively in cross-functional team
Experience with cloud platforms (e.g., AWS, Azure, GCP) and their data services is a plus

S YNECHRON'S DIVERSITY & INCLUSION STATEMENT

Diversity & Inclusion are fundamental to our culture, and Synechron is proud to be an equal opportunity workplace and is an affirmative action employer. Our Diversity, Equity, and Inclusion (DEI) initiative Same Difference is committed to fostering an inclusive culture – promoting equality, diversity and an environment that is respectful to all. We strongly believe that a diverse workforce helps build stronger, successful businesses as a global company. We encourage applicants from across diverse backgrounds, race, ethnicities, religion, age, marital status, gender, sexual orientations, or disabilities to apply. We empower our global workforce by offering flexible workplace arrangements, mentoring, internal mobility, learning and development programs, and more.

All employment decisions at Synechron are based on business needs, job requirements and individual qualifications, without regard to the applicant's gender, gender identity, sexual orientation, race, ethnicity, disabled or veteran status, or any other characteristic protected by law.

Candidate Application Notice

Quantexa Data Engineer