Senior Data Engineer

Role & responsibilities

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.

• 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 workflow
• 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

Preferred candidate profile

• Bachelor's 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
• 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, Nosql or similar languages
• Proficiency with Version Control Git, CI/CD practices and collaborative development workflows
• Preferrable immeidate joiner to less than 30days np