| Software Engineer need to have Python and SQL, No H1B at Remote, Remote, USA |
| Email: [email protected] |
| From: Shikha, KPG99 [email protected] Reply to: [email protected] Hi, Hope you are doing well. Please find the job description below and let me know your interest. Position: Software Engineer need to have Python and SQL, No H1B Location: Hybrid in Blu ash ,Ohio Duration: 6+ Month MOI: Phone and Video Acountable for developing and delivering technological responses to targeted business outcomes. Analyze, design and develop enterprise data and information architecture deliverables, focusing on data as an asset for the enterprise. Understand and follow reusable standards, design patterns, guidelines, and configurations to deliver valuable data and information across the enterprise, including direct collaboration with 84.51, where needed. Demonstrate the company's core values of respect, honesty, integrity, diversity, inclusion and safety. Required: 4+ years of Python experience Strong experience with SQL, querying with extensive join conditions and updating based on conditions DevOps: Linux, GitHub, Bash Experience with CI/CD lifecycles, Experience writing Unit, integration, and regression tests. Experience with static code analysis tools, Linters, and PEP 8 standards Experience with Microsoft Azure and/or Google Cloud Platform Experience with Agile SCRUM projects. Highly Desired: Data Management: Databricks, PySpark, Spark Structured Streaming, Delta Live Tables, Delta Sharing, Expert knowledge of SQL Experience with Streaming Technologies: Apache Kafka, Azure EventHubs, Avro DevOps: GitHub Actions, Terraform, Artifactory Desired: Power BI, Tableau, Java, SpringBoot, Kubernetes, Docker, NoSQL Key Responsibilities: Utilize enterprise standards for data domains and data solutions, focusing on simplified integration and streamlined operational and analytical uses Ensure there is clarity between ongoing projects, escalating when necessary, including direct collaboration with 84.51 Leverage innovative new technologies and approaches to renovate, extend, and transform the existing core data assets, including SQL-based, NoSQL-based, and Cloud-based data platforms Define high-level migration plans to address the gaps between the current and future state Contribute to the development of cost/benefit analysis for leadership to shape sound architectural decisions Analyze technology environments to detect critical deficiencies and recommend solutions for improvement Promote the reuse of data assets, including the management of the data catalog for reference Draft architectural diagrams, interface specifications and other design documents Keywords: continuous integration continuous deployment business intelligence |
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| Tue Feb 13 03:11:00 UTC 2024 |