Total 7 job vacancies by Ox Consultancy Pte. Ltd.

Required Skills

• Develop, deploy, and optimize machine learning and AI solutions that address complex business challenges.
• Strong programming skills in Python with experience in machine learning libraries and deep learning frameworks such as TensorFlow or PyTorch
• Proven experience working with Large Language Models (LLMs)
• Good understanding of AI agents & agentic workflows, LLM orchestration frameworks and reasoning patterns
• Create multi-agent systems and equip AI models with function/tool-calling capabilities
• Design and implement RAG systems to ground AI responses in enterprise data
• Assess and integrate AI models (e.g. LLMs) ensuring optimal performance and reliability
• Optimize agentic workflows and AI agents for production use cases
• Testing and optimizing system prompts and few-shot example to ensure accurate, consistent, and safe AI outputs
• Performance evaluation of machine learning and AI models using appropriate metrics, evaluation sets and techniques, and continuously iterate and improve upon them
• Collaborate with platform teams, data engineers, data scientists, and other stakeholders to integrate machine learning solutions into existing systems and processes
• Participate in code reviews, testing, and debugging to ensure the quality and reliability of machine learning solutions

Job Overview

We are seeking an experienced Senior Data Engineer with strong expertise in enterprise Data Warehousing, Big Data platforms, Data Lake architectures, and modern cloud technologies. The ideal candidate will have hands-on experience designing and implementing large-scale ETL/ELT pipelines, data transformation frameworks, and analytics solutions within banking, financial services, or large enterprise environments.

The role requires deep technical knowledge of Apache Spark, PySpark, Hadoop ecosystems, Teradata, Cloud Data Platforms, and emerging Generative AI technologies for intelligent data processing and automation. The candidate should be capable of driving end-to-end data engineering initiatives, supporting business intelligence, analytics, regulatory reporting, and AI-enabled data solutions.

Key Responsibilities

• Design, develop, and optimize enterprise Data Warehouse and Data Lake solutions.
• Build scalable ETL/ELT pipelines using Python, Spark, and PySpark.
• Develop and maintain data ingestion, transformation, and analytical data processing frameworks.
• Implement data integration solutions across structured, semi-structured, and unstructured data sources.
• Manage large-scale data platforms using Hadoop, AWS S3, Azure Databricks, and Cloud Data Services.
• Develop data marts and business intelligence datasets for analytics and reporting.
• Implement metadata management, data lineage, and governance frameworks using tools such as Collibra and Enterprise Data Catalog.
• Design and optimize Spark SQL workloads for high-performance analytics.
• Build automated workflow orchestration solutions using Airflow, Control-M, or equivalent scheduling platforms.
• Integrate Generative AI capabilities into data engineering workflows for metadata tagging, data classification, anomaly detection, and intelligent reporting.
• Collaborate with business stakeholders, architects, data scientists, and analytics teams to deliver scalable data solutions.
• Ensure data quality, governance, security, and compliance requirements are met.
• Support production systems, troubleshoot performance issues, and maintain SLA compliance.

Required Skills

Data Engineering

• Apache Spark
• PySpark
• Spark SQL
• Python
• SQL / PL-SQL
• Hadoop HDFS
• Data Warehouse Design
• Data Lake Architecture
• ETL / ELT Development
• Dimensional Modeling
• Star Schema & Snowflake Schema

Cloud & Big Data

• AWS S3
• Azure Databricks
• GCP BigQuery
• Cloudera Data Platform
• Kafka
• Parquet
• Alluxio

Data Governance

• Collibra
• Enterprise Data Catalog (EDC)
• Metadata Management
• Data Lineage
• Data Quality Management

DevOps & Automation

• Airflow
• Control-M
• Jenkins
• GitLab
• Bitbucket
• CI/CD Pipelines

Generative AI

• OpenAI API
• Claude API
• LangChain
• Prompt Engineering
• Retrieval-Augmented Generation (RAG)
• Vector Databases (Pinecone, ChromaDB)

Preferred Experience

• 10+ years of Data Engineering experience.
• Banking, Financial Services, or Insurance domain experience.
• Experience working with Teradata Data Warehouses.
• Hands-on experience in Data Lake modernization initiatives.
• Experience delivering regulatory reporting and compliance data solutions.
• Exposure to AI-enabled data platforms and intelligent analytics solutions.
• Experience supporting enterprise-scale production environment

We are seeking a highly skilled Senior Software Engineer with strong expertise in Java and AWS cloud technologies to design, develop, and maintain scalable enterprise applications. The ideal candidate will have hands-on experience in microservices architecture, cloud-native development, and DevOps practices, delivering high-performance solutions in a fast-paced environment.

Key Responsibilities

• Design, develop, and maintain scalable backend applications using Java and Spring Boot.
• Build and deploy cloud-native solutions on AWS.
• Develop RESTful APIs and microservices-based architectures.
• Collaborate with business stakeholders, architects, and cross-functional teams to define technical solutions.
• Optimize application performance, scalability, and security.
• Implement CI/CD pipelines and automate deployment processes.
• Perform code reviews and mentor junior developers.
• Troubleshoot production issues and provide timely resolutions.
• Ensure adherence to software development best practices and coding standards.

Required Skills & Experience

• 5+ years of software development experience with Java.
• Strong expertise in:Java 8/11/17Spring Boot, Spring CloudMicroservices ArchitectureREST APIsHibernate/JPAMaven/Gradle
• Hands-on AWS experience with services such as:EC2ECS/EKSLambdaS3RDSDynamoDBAPI GatewayCloudWatchIAMVPC
• Experience with Docker and Kubernetes.
• Strong knowledge of CI/CD tools (Jenkins, GitLab CI, GitHub Actions).
• Experience with Git version control.
• Strong understanding of Agile/Scrum methodologies.
• Excellent problem-solving and communication skills.

Preferred Skills

• Experience with Kafka or RabbitMQ.
• Infrastructure as Code (Terraform, CloudFormation).
• AWS Certifications (Developer Associate, Solutions Architect).
• Experience with distributed systems and event-driven architectures.

We are looking for a skilled DevOps/DevSecOps Engineer with 5+y to manage CI/CD pipelines and ensure secure, smooth deployments on Azure data platforms.

Key Responsibilities:

• Build and manage CI/CD pipelines (Dev → UAT → Prod)
• Automate deployments for Azure Databricks & ADF
• Implement security controls and access management
• Handle release processes and ensure audit compliance
• Work with cross-functional teams as SPOC

Required Skills:

• Azure DevOps, CI/CD pipelines
• Azure Databricks & Azure Data Factory (ADF)
• Git, version control
• Azure Key Vault (secrets management)
• Basic DevSecOps & security practices

· Azure Data Factory (ADF) – metadata-driven pipelines

· Basic Cloudera working knowledge

· Cloudera → Cloud migration (mandatory)

· Large-volume historical data migration

· Azure Databricks (Spark / SQL)

· Data reconciliation and audit sign-off

· Framework-based data ingestion / migration

Good-to-Have

· Azure Data Box–based migration experience

· Bulk history extraction using Data Box

· Landing data into ADLS Gen2

· Processing history in Databricks (Delta)

· Orchestrating incrementals via ADF

1) Experience that will demonstrate proficiency and ease with one or more programming languages, quality assurance, scripting languages and operating systems.

2) Solid hands-on development experience in backend technologies including JAVA, J2EE, SQL and related technology stack, preferably incorporating open source libraries.

3) Hands-on experience to Spring Framework, Spring Boot, MongoDB and JPA / Hibernate is a strong plus.

4) Exposure to frameworks like Karate and TestNG is good to have to carry out QA tasks. Some knowledge of test automation frameworks is also a strong plus.

5) Strong foundation expected in data structures, algorithms, problem solving and complexity analysis. 6) Strong designing, analytical, programming & communication skills needed, along with aptitude for building stable solutions.

7) Knowledge about writing unit test cases using frameworks like JUnit / TestNG is desired.

8) Some demonstrated experience with n-tier web application development and experience in latest JDK is desired. Java / J2EE certification is a Plus. Experience with web services standards and related technologies (XML, JSON, REST, SOAP, WS*, AXIS, JERSEY) is nice to have.

9) Demonstrable experience utilizing object-oriented patterns and design best practices is a strong plus.

10) Exposure to tools like Postman / any REST Client is desired. LINUX skills are required.

11) Exposure to frameworks like Karate and TestNG is good to have to carry out QA tasks. Some knowledge of test automation frameworks is also a strong plus.

12) Working knowledge of Continuous Integration / Delivery, and Test Driven Development is good to have.

13) Knowledge in micro services and hands-on experience on container platforms like Kubernetes, Docker and OpenShift would be a strong plus.

14) Hands on experience in distributed architecture & data streaming approaches like Kafka and RabbitMQ is a strong plus.

· 5+ years of experience with Java applications, SQL/NoSQL, Handling Production operations.

· Experience working with any log analysis tools and observability applications like Grafana, Prometheus, Splunk.

· Excellent communication, collaboration, and problem-solving skills

· Knowledge on Docker/Kubernetes, Caching, Kafka etc.