Software Engineer Database (2130)
AFFINITY GLOBAL ADVERTISING4+ yrsOn-siteDirect career pageEst. 7–14 LPA
Posted on 4 Sept
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Job description
Structured overview of role & requirements
About This Role
- Build and maintain high performance data applications across traditional (MySQL) and distributed (Hadoop, Spark) platforms with end-to-end responsibility for database processes and big data ETL lifecycle.
- Administer, monitor, and optimize MySQL and Hadoop ecosystems including workflows with Oozie, Zookeeper, Sqoop, Hive, Impala, and manage big data cluster deployments on private and public cloud.
- Support production systems integration of new algorithms, troubleshoot issues, deliver ad hoc business analysis, and ensure reliable data processing and backup routines.
Minimum Requirements
- Minimum 4+ years experience with SQL (MySQL) mandatory.
- At least 2+ years hands-on experience with Cloudera Hadoop Distribution and Apache Spark.
- Strong knowledge of RDBMS and distributed cloud platforms including database administration, performance tuning, and big data components like MapReduce, Hive, Impala, Kafka, HBase.
- Bachelor’s degree or higher in Computer Science or equivalent; experience with BI tools (Looker Studio, Power BI, or equivalent) is must.
Ideal Candidate Profile
- Experienced in full backend database development lifecycle including writing complex SQL queries, stored procedures, and managing distributed data workflows at scale.
- Comfortable working with large structured and unstructured datasets using technologies like Apache Spark, Hadoop ecosystem, and cloud platforms.
- Able to handle integration with engineering teams for deployment and support, with skills in data analytics tools and some exposure to advanced performance optimization and CI/CD pipelines.