Total 7 job vacancies by Digiworld Technologies Pte. Ltd.

Job Objective:
Lead the planning and end-to-end delivery of customer’s platform initiatives by translating business requirements into effective technical solutions. Drive stakeholder engagement, risk management, and resource optimization to ensure timely and high-quality delivery of enterprise data lake and data warehouse solutions

Responsibilities:

• The Technical Delivery Manager will be responsible for planning and execution of rollout projects for EDAG Re-platform due to Hardware and software got obsoleted. 
• Requirements Analysis: Collaborate with business stakeholders to gather and analyse requirements, translating them into actionable project plans. 
• Technical Solution Delivery: Coordinate with technical teams to translate business requirements into technical solutions, ensuring alignment with the bank's strategic objectives.
• Stakeholder Engagement: Act as point of contact for stakeholders, providing regular updates on project progress, addressing concerns, and managing expectations effectively.
• Risk Management: Identify and mitigate project risks and issues proactively, developing contingency plans as necessary to minimize disruptions to project timelines and deliverables.
• Resource Allocation: Allocate resources effectively to support project activities, including assigning tasks, managing workloads, and optimizing team productivity.

Requirements:

• Technical Solution Delivery: Coordinate with technical teams to translate business requirements into technical solutions, ensuring alignment with the bank's strategic objectives.
• Stakeholder Engagement: Act as point of contact for stakeholders, providing regular updates on project progress, addressing concerns, and managing expectations effectively.
• Risk Management: Identify and mitigate project risks and issues proactively, developing contingency plans as necessary to minimize disruptions to project timelines and deliverables.
• Resource Allocation: Allocate resources effectively to support project activities, including assigning tasks, managing workloads, and optimizing team productivity.
• Demonstrated strong understanding and extensive hands-on experience across multiple enterprise-scale Data Lake and Data Warehouse initiatives.
• Collaborate with business stakeholders to gather and analyse requirements, translating them into actionable project plans.
  

Job Objective:
Develop and deliver scalable ETL/ELT solutions across Teradata and Hadoop platforms by building robust data pipelines, ingestion frameworks, and automation capabilities. Ensure efficient data processing, performance optimization, and reliable integration of enterprise data sources, while supporting data warehouse, CDC, and MDM initiatives.

Responsibilities

• Create EDW ETL/ELT codes using Teradata SQL, Informatica, Apache Spark, QueryGrid, Trino to perform various transformations and load into Teradata based data warehouse or datamarts
• Performance tuning of highly complex applications to reduce resource usage
• Create framework using GCFR, shell scripts, BTEQ and shell scripts to automate end to end. Also to integrate with control 
• Build in-house CDC framework using Java to process OLR logs from SAP(Oracle) and ingestion the data into Teradata. Create framework around this CDC ingestion to make it configurable
• Install and build Master Data Management (MDM) application for various user uploads along with data validations and approval workflow.

Requirements:

• Strong handson experience with the ETL(Informatica Power Center) and Teradata based ETL development, similarly Hadoop ecosystem (Hive, Impala, Spark, Kafka, Iceberg, Ranger, Atlas, Nifi, Flink etc.,), and data pipeline orchestration.
• Create EDW ETL/ELT codes using Teradata SQL, Informatica, apache Spark, QueryGrid, Trino to perform various transformation and load into Teradata based data warehouse or datamarts
• Performance tuning of highly complex applications to reduce resource usage
• Create framework using GCFR, shell scripts, BTEQ and shell scripts to automate end to end. Also to integrate with control 
• Build in-house CDC framework using Java to process OLR logs from SAP(Oracle) and ingestion the data into Teradata. Create framework around this CDC ingestion to make it configurable

Job Objective:
Design and deliver scalable real-time data and machine learning solutions by building robust ingestion and transformation frameworks across Hadoop ecosystems. Enable end-to-end ML model operationalization and performance optimization, while supporting multi-modal data processing and development of engineering tools and applications.

Responsibilities:

•  Design and develop highly scalable, Real time systems using Hadoop ecosystem components(Iceberg, Spark, Ozone, Trino, Hive, Ranger, Kafka, Flink and Nifi)
• Build robust data ingestion and transformation frameworks using Java, Spark, Python, and shell scripting for ingesting multi model data(image, audio, video, unstructured documents) with both batch and real-time.
• Develop fullstack applications and internal engineering tools using Python, shell scripting, and modern web frameworks (e.g., Flask, React).
• Collaborate closely with data scientists to operationalize machine learning models using Cloudera Machine Learning (CML).
• Perform performance tuning and optimization of data applications on Hadoop to ensure optimal resource utilization.

Requirements:

• Experience working with ML platforms such as CML, Spark MLlib, and Python ML libraries (scikitlearn, XGBoost), including model deployment.
• Design and develop highly scalable, Real time systems using Hadoop ecosystem components(Iceberg, Spark, Ozone, Trino, Hive, Ranger, Kafka, Flink and Nifi)
• Build robust data ingestion and transformation frameworks using Java, Spark, Python, and shell scripting for ingesting multi model data(image, audio, video, unstructured documents) with both batch and real-time.
• Develop fullstack applications and internal engineering tools using Python, shell scripting, and modern web frameworks (e.g., Flask, React).
• Collaborate closely with data scientists to operationalize machine learning models using Cloudera Machine Learning (CML).
• Perform performance tuning and optimization of data applications on Hadoop to ensure optimal resource utilization.

Job Objective:

Analyze and translate business, regulatory, and analytics requirements into scalable data and solution designs. Drive effective stakeholder communication, effort estimation, and validation processes, while enabling data architectures and curation strategies that support reporting, analytics, and AI/NLP-driven use cases.

Responsibilities:

• Perform detailed effort estimation for projects and change requests.
• Communicate complex technical and architectural concepts to business and senior stakeholders in a clear, simplified manner
• Review and approve test strategies, functional test cases, and data validation approaches.
• Translate business and compliance requirements into NLPenabled analytical use cases, such as: Text classification and categorization, Entity extraction, Risk indicator identification, Summarization of alerts, cases, or documents
• Translate business, regulatory, and analytics requirements into logical data layering and curation strategies that support reporting, analytics, and AI/NLP use cases

Requirements:

• Experience in analyzing business and regulatory requirements and translate them into scalable solution designs.
• Ability to review and approve test strategies, functional test cases, and data validation approaches.
• Ability to design data architectures supporting NLP and AIdriven analytics, including ingestion, curation, and governance of unstructured data within Data Lake, Data warehouse platforms. 
• Strong understanding of data architecture principles and data modelling techniques for designing scalable and efficient data solutions.
• Experience in supporting AI and NLP use cases through data preparation, integration, and optimisation of data pipelines.
• Proficiency in testing, data validation, and quality assurance processes to ensure data accuracy, consistency, and reliability.
• Excellent stakeholder management and communication skills, with the ability to gather requirements and translate business needs into technical solutions.

Responsibilities

The IT Enablement Engineer plays a hands-on technical role that requires close collaboration with multiple KRI data owners. 

The role involves understanding each source system, how KRIs are collected and calculated, and identifying approaches to automate the extraction of KRI metrics through system integration and data engineering techniques.

The engineer is responsible for designing and building end-to-end ETL data pipelines and enhancing the existing Power BI dashboard to present consolidated KRI metrics effectively.

The primary responsibility of this role is to support the Enterprise Management Information Platform project. 

The individual will also take on additional tasks including automation initiatives in IT Operations, DevSecOps, observability, and related domains.

Key Requirements

· At least 7 years of hands-on experience

· 3-5 years of data analysis experience

· Strong SQL skills

· Data quality tools/frameworks

· Statistical analysis

· Visualization tools: Tableau, Power BI

Technical Skills:

· Automation, system integration, and data engineering (data analysis, modelling, ETL, validation)

· Experience building ETL pipelines in AWS

· Power BI dashboard development with strong UX principles

· REST API development and integration

· AWS services: Lambda, EC2, S3, Glue

· Experience with ServiceNow, Tenable, SharePoint APIs

· Programming: Python, Unix Shell, PowerShell

· DevSecOps pipeline experience

· Application support, troubleshooting, optimization

· ITIL best practices and governance compliance

Functional Skills:

· Experience with SDLC methodologies

· Requirement gathering and validation with stakeholders

· Test coordination and validation

· Prepare functional and technical specifications

· Work with Infra, App, Security, Ops, PMO teams

· Understanding of ITIL and IT Operations (ITSM, ITAM, CMDB, etc.)

Certifications (Preferred)

· Microsoft Power BI Data Analyst

· AWS Certified Data Engineer

· Red Hat Ansible Certification

We are seeking an experienced L3 Oracle Database Administrator with deep expertise in Exadata, RAC, ASM, Dataguard, and advanced performance tuning. The ideal candidate will have strong production support experience in large, mission-critical environments and the ability to manage high-performance and high-capacity databases. This role requires strong technical troubleshooting skills, excellent communication, and the ability to collaborate across global teams.

Key Responsibilities

· Provide L3 support for Oracle databases running on Exadata, ensuring high availability, optimal performance, and reliability.

· Manage and administer Oracle RAC, ASM, Clusterware (GRID Infrastructure), and Dataguard environments.

· Perform Exadata health checks, resource management, patching, upgrades, and platform migrations.

· Troubleshoot and resolve complex database issues (Break/Fix) in a critical production environment.

· Perform database performance tuning at both SQL and instance/database levels.

· Execute backup, recovery, and migration tasks using RMAN, Datapump, and Export/Import utilities.

· Use Oracle Enterprise Manager (OEM) Grid Control for database monitoring, diagnostics, and maintenance.

· Support operating environments across Solaris, Linux, and AIX, including advanced shell scripting.

· Collaborate with development teams to analyze and resolve database related issues.

· Ensure compliance with Change/Release Management processes (ITIL-based).

· Work collaboratively with global and offshore teams, demonstrating strong ownership and initiative.

Required Skills & Experience

· 10–12 years of production support experience as an Oracle DBA.

· At least 6 years of strong hands-on experience with Exadata (RAC, ASM, Dataguard, Infiniband, storage cells).

· Proven experience managing high-performance, high-capacity databases in critical, large-scale environments.

· Strong expertise in Oracle 11gR1/R2 RAC setup, administration, troubleshooting, and performance tuning.

· Proficient in Clusterware/GRID Infrastructure including CRS configuration and management.

· Expertise in SQL tuning, instance-level tuning, and overall optimization.

· Deep knowledge of backup and recovery strategies and tools, particularly RMAN.

· Hands-on experience with OEM Grid Control.

· Strong skills in Solaris, Linux, and AIX, along with advanced shell scripting.

· Excellent troubleshooting, diagnostic, and analytical abilities.

· Strong communication, stakeholder coordination, and documentation skills.

· Experience working with offshore vendors and in large corporate environments.

· Familiarity with ITIL processes (ITIL Foundation certification preferred).

· Strong sense of initiative, ownership, and teamwork.

At least 7-8 years experience in Adobe Experience Management product handling AEM development role. Strong Java programming foundation and hands on workflows, OSGI Service, Sling servlet, Sling Jobs, REST, JSON, SOAP based architecture.

Exposure to Coral / Granite UI, Adobe UI customization is a must Deep understanding of AEM's security along with its Access Controls

Must have worked on AEM 6.5+ or newer versions with good experience in both AEM sites and assets projects plus hand-on with AEM as a Cloud experience is required.

Strong working experience in building Templates/Components/Sightly / Sling models/ Content fragments/ Experience fragments. Experience in exposure of authored content via Content fragment and JSON exporter APIs is desirable.

Understanding FE code for html to sightly mapping, good with JavaScript, and CSS understanding is a must have.

Understanding of core AEM components such as oak, sling and dispatcher, dispatcher filter rules etc.

Experience with Continuous Integration and Automated test execution using Junit5 and building tools such as Maven

Experience with working in Azure DevOps, GitHub, GIT commands and experience with working with a larger team with and have minimal code conflicts.

Experience building large scale web applications integrating with various backend services.

Work with project managers and Product owners, project/country stakeholders to ensure that all project deliverables are on time and high quality.

Work collaboratively with other teams; QA, FE, PO and other stakeholders to gather requirements and understand the task at hand and involve in discovery sessions etc.

Good communication skills and ready to work with stakeholders from different countries & geographies and document and understand core technical processes.

Good to have:

Other CMS experiences like WordPress CMS will be an added advantage.

Ready to adapt to new ways of working and flexible to shift to projects with ease.

Understanding of other Adobe Experience Cloud solutions like like Adobe Target, Adobe Analytics.

Certifications: Adobe Experience Manager developer/lead developer or architect certification