Data engineer(Java Springboot, Snowflake, Snaplogic, Kafka and Python)
2 weeks ago
Analyze requirements and existing resources to Propose, create ETL designs and database objects
Work with project and business analyst leads in order to develop and clarify in-depth technical requirements including logical and physical data modeling activities
Design and implement ETL processes for data transactions related to Enterprise Data Warehouse, Operational Data Store (ODS), and other data structures to support our Business Intelligence operations
Develops, enhances, debugs, supports, maintains and tests software applications that support business units or supporting functions using IBM Infosphere Data Stage ETL or any other cloud based ETL tool both ETL and ELT approaches. These application program solutions may involve diverse development platforms, software, hardware, technologies and tools.
Must have hands-on on Snowflake development environment with all SQL operations. Must be aware of ELT approach as well.
Participates in the design, development and implementation of complex applications, often using IBM Infosphere Information Server (IIS) products like Data Stage, Quality Stage on a Linux Grid environment. Control-M/Scheduling tools.
Required Skills:10+ Yrs Relevant IT software experience (Technical) in ETL Datastage or any other cloud based ETL Tool development Experience with databases like Snowflake (Cloud DB), Oracle, Netezza, MS SQL Server 2012+, DB2 and MS Access
Experience with job automation & scheduling software (Control-M) Strong ability to write SQL queries
Desired Skills: Familiar with Java API's, Snowflake (Cloud DB), Snaplogic, Python, UNIX, Windows, File transfer utilities, process flow creation, ETL technologies, Hadoop
Good to have Skills: Java Springboot, Snow-Pro Certified, Snaplogic, Strong SQL, Strong conceptual understanding of core DW Concepts including different approaches/methodologies. dbt (data build tool) experience is an added advantage
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