Urgent Requirement of Data Engineer with IBM DataStage at Salt Lake City Utah (remote)

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Role: Data Engineer Location: Salt Lake City Utah (remote)   Job description: Highlights: Experience with IBM Data Stage, python, and Linux scripting.  Responsible for maintaining enterprise-grade platforms that enable data-driven solutions. Search for ways to automate and maintain scalable infrastructure. Ensure delivery of highly available and scalable systems. Monitor all systems and applications and ensure optimal performance. Analyzes and designs technical solutions to address production problems. Participate in troubleshooting applications and systems issues. Identifies, investigates, and proposes solutions to technical problems. While providing technical support for issues, develop, test, and modify software to improve efficiency of data platforms and applications. Monitors system performance to maintain consistent up time. Prepares and maintains necessary documentation. Participate in daily standups, team backlog grooming, and iteration retrospectives. Coordinate with data operations teams to deploy changes into production. Highest level may function as a lead. Other duties as assigned. Qualifications: 5+ years of experience in ETL (prefer experience with IBM DataStage), SQL, UNIX/Linux, Big Data distributed systems, various programming languages like Python, orchestration tools and processes or other directly related experience. Extensive experience in data migration, data analysis, data transformations, conversion, interface, large volume data loading (ETL techniques), database modeling, and performance SQL tuning.  Significant experience in leveraging database tools to develop DDL scripts, stored procedures, and functions to create and alter database objects. Have a good understanding of entity-relational database design, including data normalization and ERD modeling. Experience working with Greenplum, Oracle, SQL Server, DB2, Teradata, and delimited text files would be helpful. Basic knowledge of Cloud computing, search technology, building real-time data pipelines, scheduling tools and processes. Hands on experiences with Git version control processes, data streaming technologies such as Kafka, and unstructured data handling preferred. Serve in the goalie (On-Call) rotation to support the Production environment. Responsible for maintaining enterprise-grade platforms that enable data-driven solutions. Good analytical, organizational, and problem-solving skills. Ability and desire to learn new technologies quickly. Ability to elicit, gather and analyze user requirements. Ability to work independently and collaborate with others at all levels of technical understanding. Able to meet deadlines. Good judgment and project management skills. Ability to communicate both verbally and in writing with both technical and non-technical staff. Ability to work in a team environment and have good interpersonal skills. Ability to adapt to changing technology and priorities. Must be able to interpret, validate and map business requirements to an appropriate solution.

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