| Hot C2C opening forAWS Data Engineer Day 01 onsite at Plano, TX at Plano, Texas, USA |
| Email: [email protected] |
| From: gobi, PiplNow [email protected] Reply to: [email protected] Hello, We have an urgent C2C opening for AWS Data Engineer Day 01 onsite at Plano, TX. Hybrid (Weekly three days' work from office) Need local to TX candidates - Need either DL or State id from Texas Rate Max $55/hr on C2C Our client is looking to fill this role immediately. If you are interested in this role, Please share the updated resume, filled consultant details ASAP. Skill Matrix Skills Years of experience Over all experience Total years of work exp in US As Data Engineer Unix Python PySpark SQL AWS Dealing with Stakeholders Data Analysis Data validation accuracy and reliability of data Data integration Consultant Details: Criteria Consultant's Data Full Name Primary Phone Primary Email Education Details Graduation Education Details Masters Certification if any LinkedIn Profile Passport Number US work authorization and expiration Expected pay rate/hr on C2C Current Company Name Current location (City/State) Willing to relocate (yes/No) Availability to join new project/ Notice period Have you ever worked or interviewed for this client in the past If yes, as a consultant or as an employee Last 5 digits of Social Security Number Birth month and day (NOT YEAR) Position: Data Engineer Location: Day 01 onsite at Plano, TX. Hybrid (Weekly three days' work from office) Job summary : Experience: overall 8+ years of experience, minimum 6+ years of experience in US. Required Skills: UNIX, Python, PySpark, SQL, AWS As a Data Engineer with 8+ years of experience, you will play a pivotal role in analyzing business processes and leveraging data to drive strategic decisions. Your expertise in Python, PySpark, AWS, SQL, and UNIX will be crucial in optimizing our data infrastructure and ensuring seamless business operations. You will collaborate with cross-functional teams to deliver impactful insights and solutions. Roles & Responsibilities: Analyze business processes to identify areas for improvement and optimization. Develop and maintain data pipelines using Python and PySpark to ensure efficient data processing. Utilize AWS services to manage and deploy scalable data solutions. Write and optimize SQL queries to extract and manipulate data for analysis. Implement Unix scripts to automate routine tasks and enhance system performance. Collaborate with stakeholders to gather requirements and translate them into technical specifications. Provide actionable insights through data analysis to support strategic decision-making. Create and maintain comprehensive documentation for data processes and business workflows. Conduct data validation and quality checks to ensure accuracy and reliability of data. Lead data-driven projects from inception to completion, ensuring timely delivery and alignment with business goals. Communicate findings and recommendations to both technical and non-technical audiences. Stay updated with industry trends and best practices to continuously improve data solutions. Work closely with IT and development teams to integrate data solutions into existing systems Qualifications Possess strong analytical skills with the ability to interpret complex data sets. Demonstrate proficiency in Python and PySpark for data processing and analysis. Have hands-on experience with AWS services for data management and deployment. Show expertise in writing and optimizing SQL queries for data extraction and manipulation. Be skilled in UNIX scripting for automation and system performance enhancement. Exhibit excellent communication skills to effectively collaborate with cross-functional teams. Display a proactive approach to problem-solving and continuous improvement. Hold a Bachelors degree in Computer Science, Information Technology, or a related field. Have a proven track record of delivering data-driven projects on time Keywords: information technology Idaho Texas Hot C2C opening forAWS Data Engineer Day 01 onsite at Plano, TX [email protected] |
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| Fri Jun 28 03:43:00 UTC 2024 |