| Data Engineer EX DELTA CANDIDATES ONLY LOCAL TO GA at Delta, Utah, USA |
| Email: [email protected] |
| From: Bhavya, Techrooted [email protected] Reply to: [email protected] Hi I am hiring a consultant for one of my client's requirement. Job Description for the same is written below. If you find yourself comfortable with the requirement please reply back with your updated resume. I would really appreciate if you can give me a call back at my contact # (201) 534 5266, Ext 806 . Job Title: Data Engineer - Python & AWS Location: Hybrid Role Duration: 12 months/Contract JOB DESCRIPTION Interview Mode: Phone and Video Type: Long term contract USC/GC Hybrid-- Onsite 2 -3 days/week in Atlanta - locals need to do screening call with vendor Search X Delta candidates 1030 Delta Boulevard, Atlanta, GA 30354 - Plans to interview Thursday and Friday of next week Data Engineer with AWS and Python Python Developer with AWS Project Details: What does the End Goal look like What current phase are they in Tech stack of the environment Not project based/Ongoing need You will be supporting a large initiative for Enterprise Data Services working with the Cargo Business Unit. You will be moving data sources to new tools, remapping and creating new tables, and using python and glue to manage the data. Must Haves / Required Skills: Python - Strong AWS skills: Glue, S3, eventbridge, airflow - Experience converting jobs from ETL to AWS - Native objects is a strong plus -PLSQL, complex SQL querying - AWS lambda - they use lambda, but glue is more important because it can carry a larger load of data - experience building ETL pipelines -Computer Science degree!! The Data Engineer will play a leading role on the Enterprise Data Services team, responsible for transforming data from disparate systems to provide insights and analytics for business stakeholders. Youll leverage cloud-based infrastructure to implement technology solutions that are scalable, resilient, and efficient. You will collaborate with Data Engineers, Data Analysts, DBAs, cross-functional teams, and business leaders. You will architect, design, implement and operate data engineering solutions, using Agile methodology, that empower users to make informed business decisions. Candidate You are self-motivated, work independently, and have direct experience with all aspects of the software development lifecycle, from design to deployment. You have a deep understanding of the full life data lifecycle and the role that high-quality data plays across applications, machine learning, business analytics, and reporting. Strong candidates will exhibit solid critical thinking skills, the ability to synthesize complex problems, and a talent for transforming data to create solutions that add value to a myriad of business requirements. You have the demonstrated ability to lead and take ownership of assigned technical projects in a fast-paced environment. Excellent written and speaking communication skills are required as we work in a collaborative cross-functional environment and interact with the full spectrum of business divisions. You demonstrate unsatiated curiosity and outstanding interpersonal soft skills. Ideal candidates have more than just knowledge or skill set, as they also have a can do mindset to find solutions. You have demonstrated ability to serve as a liaison with business users and walk with them through their problems to identify the best path forward. You are also expected to provide technical counsel to other Data Engineers on the team and may be requested to review and guide their work to ensure all the work comes together successfully to meet the business n Qualifications: Bachelor of Science degree in Computer Science or equivalent At least 4-6 years of post-degree professional experience At least 3 years of Airline industry experience 2+ years development experience building and maintaining ETL pipelines 2+ years of experience working with database technologies and data development such as Python, PLSQL, etc. Experience in mentoring junior team members through code reviews and recommend adherence to best practices Deep understanding of writing test cases to ensure data quality, reliability and high level of confidence Track record of advancing new technologies to improve data quality and reliability Continuously improve quality, efficiency, and scalability of data pipelines Expert skills working with queries/applications, including performance tuning, utilizing indexes, and materialized views to improve query performance Identify necessary business rules for extracting data along with functional or technical risks related to data sources (e.g. data latency, frequency, etc.) Develop initial queries for profiling data, validating analysis, testing assumptions, driving data quality assessment specifications, and define a path to deployment Familiar with best practices for data ingestion and data design Bachelor of Science degree in Computer Science or equivalent At least 4-6 years of post-degree professional experience At least 3 years of Airline industry experience 2+ years development experience building and maintaining ETL pipelines 2+ years of experience working with database technologies and data development such as Python, PLSQL, etc. Experience in mentoring junior team members through code reviews and recommend adherence to best practices Deep understanding of writing test cases to ensure data quality, reliability and high level of confidence Track record of advancing new technologies to improve data quality and reliability Continuously improve quality, efficiency, and scalability of data pipelines Expert skills working with queries/applications, including performance tuning, utilizing indexes, and materialized views to improve query performance Identify necessary business rules for extracting data along with functional or technical risks related to data sources (e.g. data latency, frequency, etc.) Develop initial queries for profiling data, validating analysis, testing assumptions, driving data quality assessment specifications, and define a path to deployment Familiar with best practices for data ingestion and data design Regards Bhavya Setia Deputy Resource Manager T: (201) 534 5266, Ext 806 E : [email protected] TechRooted. 14 Wall Street 20th Floor | New York, NY 10005 www.techrooted.com/ Keywords: access management sthree information technology green card Georgia New York Data Engineer EX DELTA CANDIDATES ONLY LOCAL TO GA [email protected] |
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| Wed Aug 28 00:00:00 UTC 2024 |