DescriptionSummary: The Data and Analytics Engineer I is responsible for development, expansion, and maintenance of data pipelines of the eco-system. A Data and Analytics Engineer uses programming skills to develop, customize and manage integration tools, databases, warehouses, and analytical systems. The Data and Analytics Engineer I assists in implementation of optimal solutions to integrate, store, process and analyze huge data sets. This includes an understanding of methodology, specifications, programming, delivery, monitoring, and support standards. Prefer Individual to have a fundamental understanding of designing and developing data pipelines and delivering advanced analytics, with open-source Big Data processing frameworks such as Hadoop technologies. Individual should have basic competency in programming utilizing distributed computing principles. Responsibilities: Meets expectations of the applicable OneCHRISTUS Competencies: Leader of Self, Leader of Others, or Leader of Leaders. Responsible for analyzing and understanding data sources, participating in requirement gathering, and providing insights and guidance on data technology and data modeling best practices. Analyzes ideas and business and functional requirements to formulate a design strategy. Acts as a tenant to draw out a workable application design and coding parameters with essential functionalities. Works in collaboration with the team members to identify and address the issues by implementing a viable technical solution that is time and cost-effective and ensuring that it does not affect performance quality. Develops code following the industry's best practices and adhere to the organizational development rules and standards. Involved in the evaluation of proposed system acquisitions or solutions development and provides input to the decision-making process relative to compatibility, cost, resource requirements, operations, and maintenance. Integrates software components, subsystems, facilities, and services into the existing technical systems environment; assesses the impact on other systems and works with cross-functional teams within information Services to ensure positive project impact. Installs configure and verify the operation of software components. Participates in the development of standards, design, and implementation of proactive processes to collect and report data and statistics on assigned systems. Participates in the research, design, development, and implementation of application, database, and interface using technologies platforms provided. Researching, designing, implementing, and managing programs. Fixes problems arising across the test cycles and continuously improve the quality of deliverables. References and documents each phase of development for further reference and maintenance operation. Uses critical and analytical thinking skills and understanding of programming principles and design. Uses basic technical knowledge of Enterprise Application/Integration Design and Development of systems, databases, operating systems, and Information Services. Uses experience in large scale data lake data and data warehouse implementations and demonstrate proficiency in open-source technology, for example, Python, Spark, Hive, HDFS, etc. demonstrates basic knowledge of data mining techniques, relational, and non-relational databases. Demonstrates experience with data integration with ETL techniques and frameworks. Works with Big Data querying tools, such as Hive, Impala and Spark SQLUses basic to intermediate level of SQL programing and query performance tuning techniques for Data Integration and Consumption using design for optimum performance against large data asset within Transactional, MPP and columnar architecture. Demonstrates basic understanding of BI and analytics landscape, preferable in large-scale development environments. Job Requirements: Education/Skills Bachelor's degree in computer science, Engineering, Math, or related field is required. Experience 1 - 2 years of experience with development of Enterprise scale platforms built on open-source frameworks required. Healthcare IT experience is preferred. 1 - 2 years' experience working with Microsoft SQL Server and Microsoft SQL Server Integration Services (SSIS) is preferred. Experience in MapReduce, Spark programming is preferred. Experience developing analytics solutions with large data sets within an OLAP and MPP architecture is preferred. Licenses, Registrations, or Certifications Certifications in Hadoop or Java are preferred. Work Schedule: 8AM - 5PM Monday-Friday Work Type: Full Time
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