Data Engineer

Job Summary:

• We are seeking a skilled 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.

Responsibilities:

• Maintain ETL/ELT pipelines using modern data engineering tools and frameworks
• To 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

Skills:

• Bachelor's degree in Computer Science, Engineering, Mathematics, or related field
• 3 to 6 years of experience in data engineering, software engineering, or related role
• Proven experience building and maintaining production data pipelines
• Expertise in Hadoop ecosystem - Spark SQL, Iceberg, Hive etc.
• Extensive experience with Apache Kafka, Apache Flink, and other relevant streaming technologies.
• Orchestrating tools - Apache Airflow & UC4
• Proficiency in Python, Unix or similar languages
• Good understanding of SQL oracle, SQL server or similar languages and NoSQL technologies
• 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

We are an equal opportunity employer and value diversity at our company. We do not discriminate on the basis of race, religion, color, national origin, sex, gender, gender expression, sexual orientation, age, marital status, veteran status, or disability status.