| Associate Data Engineer (ETL , Data Integration) || Remote at Remote, Remote, USA |
| Email: [email protected] |
| From: Ishavdeep Singh, Cloud Think Technologies [email protected] Reply to: [email protected] Responsibilities Independently plans, designs, develop, executes and monitor complex data integration activities to support project delivery and daily operation. Experience in defining, implementing, debugging and optimizing data integration mappings and scripts from a variety of data sources. Development of ETL code, metadata definition and models, queries, scripts, schedules, work processes and maintenance procedures and identify opportunities to optimize the sizing, performance and efficiency of existing processes/procedures. Perform the unit testing, system integration testing, regression testing and assist with user acceptance testing. Consults with the business to develop documentation and communication materials to ensure accurate usage and interpretation of data. Develops technical understanding of how the data flows from various source systems and source types to fine tune data integration solution. Work independently or as part of a team to deliver data warehouse ETL projects. Adhere to established standards and best practices and provide input for improvement of those processes. Self-motivated team player who can work with minimal supervision and can adapt to a quickly changing environment. Maintain a high-volume data warehouse application. Ability to work on multiple task simultaneously, ability to switch between tasks and work in conflicting priorities Technical Skills & Competencies Azure/Databricks and ETL knowledge (Informatica experience is preferred) Strong SQL knowledge Preferred to have SFTP/FTP, PGP/GPG encryption knowledge Must be a self-starter and willingness to learn other technologies and tools including Informatica Good communication Experience and Education: 2 plus years of relevant experience is desired. Having a Bachelors/Master's degree in Computer Science/Information Systems from a reputed University Strong computer science fundamentals. Strong in communications with business stakeholders Excellent technical, analytical and organizational skills. Effective written and verbal communication skills, including technical writing. Keywords: |
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| Wed Jan 03 19:54:00 UTC 2024 |