| Data Engineer at Remote, Remote, USA |
| Email: [email protected] |
| From: Ashwani Raghuvanshi, Tek Inspirations [email protected] Reply to: [email protected] Job Description -They need to have extensive experience with Talend. Any candidate who reads answers off of Google during the interview will be rejected. Pv is very technical, Take screening call. Before submit. Role: Data Engineer Duration: 6+months Location: Ann Arbor, Michigan OnsiteNeed Local Candidates Need LinkedIn Must have excellent communication skills Our client, a Fortune 1000 company, creates software that is used in over 17,000 stores that depend on the technology to ensure consumers and businesses alike can order and operate efficiently. The website and mobile apps developed by the teams consistently challenge the status quo of not only the technology in their field, but beyond. ADDITIONAL JOB DETAILSThe 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 (Azure) 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 Keywords: Data Engineer [email protected] |
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| Wed Jul 24 20:25:00 UTC 2024 |