| Data Engineer with Talend experience =Need Local to Michigan at Michigan, North Dakota, USA |
| Email: [email protected] |
| From: Mohd, Global Icon [email protected] Reply to: [email protected] Job Description: The data engineering specialist will primarily focus on development of large volume information ingestion and transformation. This position is responsible for orchestrating data interfaces into (and out of) our Enterprise Data Warehouse using Talend, SQL, Python and other data engineering solutions. GENERAL RESPONSIBILITIES Design and develop ETL (Talend) / SQL / Python based processes to perform complex data transformation processes. Design, code, and test major data processing features, as well as work jointly with other team members to provide complex software enhancements for the enterprise data storage platforms (RDBMS, Lakehouse, No-SQL platforms) Build Data Integration solutions to handle batch / streaming / IoT data on ETL, Big-Data platforms. Develop and Deliver changes in the Enterprise Data Warehouse according to Data Warehousing best practices Gather requirements and construct documentation to aid in maintenance and code reuse in accordance with team processes and standards Design, code, and test major data processing features, as well as work jointly with other team members to provide complex software enhancements for the enterprise data storage platforms Monitor scheduled jobs and improve reliability of ongoing processing Monitor, measure, and enhance ways to improve system performance Ability to multi-task deliverables and manage them in an efficient manner. Performs other duties as assigned Qualifications Understanding and Hands-on experience with key technologies (SQL, ETL, Data modeling, data processing) Strong SQL skills with Relational DBMS technology - SQL Server 2-4 yrs Hands-on experience with ETL tools (Talend preferred) Good understanding and expertise in relational database concepts and data processing concepts Experience in handling multiple data formats (Delimited file, JSON, XML etc.) Experience with data lakehouses (Databricks) and cloud technologies (Aure) a plus Experience with Customer and digital marketing data, including implementing Customer Data Platform and Identity Resolution solutions and integrating with a ESP (Salesforce), a plus Hands on experience designing and implementing data ingestion techniques for real time processes (IoT, eCommerce) a plus. Development experience in a Big-Data environment a Plus; Spark, Kafka, Message Queues Experience with shell scripting / Python a plus Strong communication skills (oral and written) Good analytical and problem solving skills Knowledge of CRM, MDM, HR Reporting and Business Intelligence a plus Candidate must be thorough and detail-oriented and a team player Able to work on multiple priorities in a deadline-driven environment Additional Information All your information will be kept confidential according to EEO guidelines. * Hybrid position requiring weekly on-site work in Ann Arbor office * Roles would all be for Data Engineering developers, with at least 2-4 years of experience o Preferred experience would be with Talend or similar ETL tool Keywords: |
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| Thu Jan 04 21:01:00 UTC 2024 |