| Role: Data Engineer Location: Salt Lake City, Utah (Onsite day 1) Duration: Long Term Contract Rate: $65/hr on c2c
Experience with IBM Data Stage, python, and Linux scripting. Job Description: Responsibilities • 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. • Analyses 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 stand-ups, 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.
• 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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