| Big Data Engineer - Phoenix, AZ (Onsite) at Phoenix, Arizona, USA |
| Email: [email protected] |
| From: Yash, Itech US [email protected] Reply to: [email protected] Hello Hope you are doing well. Role: Big Data Engineer Location: Phoenix, AZ (Onsite) Job Description: Responsibilities: Big Data Python Pyspark Hive. Familiar with Agile or other rapid application development methods Bachelors degree in engineering or computer Science or equivalent OR masters in computer applications or equivalent. Hands-on experience with programming using Python Expert on Hadoop and Spark Architecture and its working principle Hands-on experience on writing and understanding sophisticated SQL(Hive/PySpark-dataframes), optimizing joins while processing huge amount of data Hands-on experience of working with Map-Reduce, Hive, Spark (core, SQL and PySpark) Proven Data warehousing concepts Knowledge of Financial reporting ecosystem is a plus Proven experience within Data Engineering/ Data Warehousing using Big Data technologies will be a addon Expert on Distributed ecosystem Ability to design and develop optimized Data pipelines for batch and real time data processing Should have experience in analysis, design, development, testing, and implementation of system applications Demonstrated ability to develop and document technical and functional specifications and analyse software and system processing flows. Experience with design and coding across one or more platforms and languages as appropriate Experience in analytical languages (Python or the equivalent) and knowledge about machine learning techniques. Extensive experiencing in application, integration, system, and regression testing, including demonstration of automation and other CI/CD efforts. Experience with version control software like git and CI/CD testing/automation experience. Strong analytical ability Excellent communication skills Best regards, Yash ITech US, Inc. Keywords: continuous integration continuous deployment Arizona |
| [email protected] View all |
| Sat Aug 26 01:12:00 UTC 2023 |