Develop and maintain ETL / ELT pipelines using modern data engineering tools and frameworks
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
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
Required Qualifications
Strong proficiency in Spark SQL, hands-on experience with Hadoop- Hive, Iceberg, Python and UNIX scripting.
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
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Data Engineer • Bengaluru, Karnataka, India
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