Kerja Sepenuh Masa, Data Engineer di HCLTech Federal Territory - Maukerja

About the Company

HCLTech is a global technology leader, renowned for delivering innovative solutions and services to clients across 60+ countries. With a strong emphasis on digital transformation, sustainability, and client-centric values, HCLTech has consistently ranked among the top technology service providers worldwide. Our diverse and inclusive culture, commitment to excellence, and focus on continuous learning have enabled us to empower businesses and communities globally.

About the Role

As a Data Engineer at HCLTech, you will play a critical role in architecting, building, and optimizing advanced data platforms that power key financial services solutions. You will collaborate with cross-functional teams to enable data-driven decision-making, ensuring robust data pipelines, orchestration frameworks, and integration with cutting-edge cloud and big data technologies. Your contributions will directly impact the efficiency, innovation, and competitive edge of our financial services clients.

Responsibilities

• Design, develop, and maintain scalable and efficient big data platforms using Python, Spark, and SQL.
• Build, optimize, and manage data pipelines and workflows to support analytics and business intelligence initiatives.
• Implement orchestration solutions using Apache Airflow, ensuring reliable scheduling and monitoring of ETL processes.
• Collaborate with DevOps teams to automate deployments and manage infrastructure using Kubernetes (SKE/AKS).
• Develop and maintain storage solutions leveraging MinIO (S3-compatible object storage) to ensure secure and efficient data management.
• Write and maintain robust Linux shell scripts to automate repetitive data engineering tasks.
• Monitor, troubleshoot, and resolve issues related to data integrity, performance, and scalability.
• Document processes, workflows, and data flows to ensure transparency and knowledge sharing within the team.
• Adhere to industry best practices, security standards, and compliance requirements relevant to the financial services sector.

Qualifications

• Bachelor’s or Master’s degree in Computer Science, Engineering, Information Technology, or a related field.
• Minimum 8 years of total experience, with at least 6 years relevant to data engineering roles.

Required Skills

• Hands-on expertise in core big data platforms, Python, Spark, and advanced SQL.
• Proficient in Linux environment and shell scripting.
• Experience in orchestrating data workflows with Apache Airflow.
• Proficiency in deploying and managing containers using Kubernetes (preferably SKE/AKS).
• Experience with object storage solutions such as MinIO (S3-compatible).
• Strong analytical and problem-solving skills.
• Excellent communication and collaboration abilities.

Preferred Skills

• Experience within the financial services industry or exposure to regulatory environments.
• Certifications in cloud platforms (AWS, Azure, GCP), Big Data, or DevOps.
• Familiarity with modern CI/CD tools and practices.
• Knowledge of data security, privacy, and compliance frameworks (e.g., GDPR, PCI DSS).