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Job Location | Bangalore |
Education | Not Mentioned |
Salary | Not Disclosed |
Industry | IT - Software |
Functional Area | General / Other Software,Engineering Design / Construction |
EmploymentType | Full-time |
- Experience in building scalable/highly available distributed systems in production- Expertise in Big Data Ecosystem with good experience in Java/Python/Scala, HDFS, Hive, Kudu, Spark, SQL and NoSQL databases (e.g. PostgreSQL, MS SQL, HBase, Cassandra, MongoDB)- Expertise in MPP architecture and knowledge on MPP engine (Spark, Impala etc.)- Understanding of stream processing with expert knowledge on Kafka and either Spark Streaming or Flink.- Real-world experience with ETL/Data warehousing Solutions( NiFI, Streamsets, Talend, Informatica etc.) - Knowledge of Cloud (Azure or AWS or Google Cloud) platform infrastructure and on premise to run and optimize distributed data applications - Knowledge of Software Engineering best practices- Identify right open source tools to deliver product features by performing research, POC/Pilot and/or interacting with various open source forums - Engage with Product Management and Business to set your priorities and deliver awesome product features. - Optimize solutions for performance and scalability. - Load and Transform Data via using scripting languages and tools(e.g. Python, R, Java, Scala, Linux Shell, Sqoop) - Collect and transform structured/unstructured data providing Self-serve capabilities for less technical analytics peers - Identify gaps in the data processes and Drive improvement via continuous improvement loop (Data process Resilience) - Designing, creating, testing and maintaining the complete data management and processing systems- Discovering data acquisitions opportunities- Improving data quality, reliability and efficiency of the individual components and the complete system,
Keyskills :
ms sqlbig dataopen sourcedata qualitymusic makingdata managementstream processingproduct managementdistributed systemssoftware engineeringcontinuous improvement