Data Engineer

Title: Ops Data Engineer

Key Skills Required: Recent hands-on experience with Flink, Spark SQL, and Kafka

Mandatory: Strong expertise in real-time streaming data (candidates with only batch data experience will not be suitable)

We are seeking a skilled Ops Data Engineer to maintain robust data infrastructure and pipelines that support our operational analytics and business intelligence needs.

Candidates will bridge the gap between data engineering and operations, ensuring reliable, scalable, and efficient data systems that enable data-driven decision making across the organization.

Key Responsibilities

• Maintain ETL/ELT pipelines using modern data engineering tools and frameworks
• 7 * 24 On-call support data pipeline health, performance, and SLA compliance
• Document data processes, schemas, and best practices SOP
• Implement data quality checks, monitoring, and alerting systems to ensure data reliability
• Optimize data pipeline performance and troubleshoot production issues

Education and Experience

• Bachelors degree in computer science, Engineering, Mathematics, or related field
• 3+ years of experience in data engineering, software engineering, or related role
• Proven experience building and maintaining production data pipelines

Required Qualifications

• Strong proficiency in Spark SQL, hands-on experience with realtime Kafka, Flink
• Databases: Strong knowledge of relational databases (Oracle, MySQL) and NoSQL systems
• Proficiency with Version Control Git, CI/CD practices and collaborative development workflows
• Strong operations management and stakeholder communication skills
• Flexibility to work cross time zone
• Have cross-cultural communication mindset
• Experience working in cross-functional teams
• Continuous learning mindset and adaptability to new technologies