We are looking for Senior Data Engineer with 10 years of experience.

Data Ingestion Design & Development

Design, develop, and maintain Qlik Replicate data pipelines for near-real-time and batch data replication between heterogeneous systems (e.g., Oracle, Cloudera, DB2, etc.).
Administer Qlik Replicate servers, monitor task performance, and manage licensing, upgrades, and patches.
Implement best practices for replication task configuration, error handling, and resource optimization.
Troubleshoot data replication issues, performance bottlenecks, and connectivity errors across environments.
Oracle DB knowledge and proficient in writing complex SQL queries and PL/SQL programs
Unix basic knowledge and hands-on Unix scripting
Hadoop (Cloudera Data Platform) basic knowledge and hands-on

Data Integration & Project Delivery

Collaborate with business and technical teams to understand data integration requirements and deliver end-to-end data migration/replication solutions.

Participate in data modernization, cloud migration, or analytics platform initiatives.
Develop technical documentation, architecture diagrams, and operational guides.
Support testing, validation, and deployment of data pipelines into production.
Post development, actively plan and implement automation for the Qlik tasks and associated programs before handing over to BAU
Knowledge in CI/CD is a plus

The Job

Data Ingestion Design & Development

Design, develop, and maintain Qlik Replicate data pipelines for near-real-time and batch data replication between heterogeneous systems (e.g., Oracle, Cloudera, DB2, etc.).
Administer Qlik Replicate servers, monitor task performance, and manage licensing, upgrades, and patches.
Implement best practices for replication task configuration, error handling, and resource optimization.
Troubleshoot data replication issues, performance bottlenecks, and connectivity errors across environments.
Oracle DB knowledge and proficient in writing complex SQL queries and PL/SQL programs
Unix basic knowledge and hands-on Unix scripting
Hadoop (Cloudera Data Platform) basic knowledge and hands-on

Data Integration & Project Delivery

Collaborate with business and technical teams to understand data integration requirements and deliver end-to-end data migration/replication solutions.
Participate in data modernization, cloud migration, or analytics platform initiatives.
Develop technical documentation, architecture diagrams, and operational guides.
Support testing, validation, and deployment of data pipelines into production.
Post development, actively plan and implement automation for the Qlik tasks and associated programs before handing over to BAU
Knowledge in CI/CD is a plus

BAU Support & Maintenance

Provide Level 2/3 support for production Qlik Replicate environments, ensuring minimal downtime.
Monitor replication tasks, alerts, and logs; perform root cause analysis for incidents.

Coordinate with DBAs, infrastructure, and application teams to resolve issues promptly.
Ensure compliance with data governance, audit, and security standards.
Collaboration & Stakeholder Engagement
Work with business users, data architects, and data analysts to ensure consistent and reliable data delivery.
Participate in team meetings, and cross-functional discussions.
Train or guide junior developers or support staff when required.

Takes accountability in considering business and regulatory compliance risks and takes appropriate steps to mitigate the risks.
Maintains awareness of industry trends on regulatory compliance, emerging threats and technologies in order to understand the risk and better safeguard the company.
Highlights any potential concerns /risks and proactively shares best risk management practices.

Mandatory skillsets:

Over 10 years of experience in software engineering, with a strong focus on the Data and AI domain, including hands-on expertise in data engineering
5+ years of hands-on experience in Qlik Replicate (Attunity Replicate) as both Developer and Administrator.
Strong understanding of relational databases, replication concepts (CDC, full load, incremental load), and data warehousing.
Experience with Qlik Enterprise Manager, Qlik Compose and other related Qlik tools
Proficiency in PL/SQL, SQL, database troubleshooting, and performance tuning.
Familiarity with Linux/Windows scripting, network configuration, and security setup for Qlik Replicate environments.
Hands-on experience in Big Data Hadoop systems is an added advantage
Working experience in Talend ETL tool is a plus
Strong analytical and problem-solving skills, with attention to detail.
Excellent communication and stakeholder management abilities across remote teams.

High level of integrity, takes accountability of work and good attitude over teamwork.
Takes initiative to improve current state of things and adaptable to embrace new changes.

Senior Data Engineer (Qlik, ETL)