URGGENT RI\\OLE;;Data Engineer at Remote, Remote, USA |
Email: [email protected] |
From: janhavi singh, TEK INSPIRATIONS [email protected] Reply to: [email protected] Hi, Hope you are doing great. Please let me know if you find the new below position as well Data Engineer Denver, CO (Hybrid) 6 Months C2H Visa: USC, GC & GC-EAD Skype Need Someone Local to "CO" Minimum of 2 years of experience in data engineering, with a focus on SQL and Python. Responsibilities: Develop and maintain robust, scalable, and efficient data pipelines using SQL/Python/Spark, primarily within the AWS Cloud Infrastructure Design and implement data models and architectures to support data processing, analysis, and reporting needs. Collaborate with cross-functional teams to understand data requirements and translate them into technical solutions. Optimize and tune data pipelines and queries for improved performance and reliability. Ensure data quality and integrity through rigorous testing, monitoring, and troubleshooting. Implement data security measures and best practices to protect sensitive information. Mentor and provide technical guidance to junior data engineers, fostering their growth and development. Stay updated with industry trends, emerging technologies, and best practices in data engineering. Qualifications: Bachelor's degree in Computer Science, Engineering, or a related field. Minimum of 2 years of experience in data engineering, with a focus on SQL and Python. Strong proficiency in SQL for data extraction, transformation, and loading (ETL) processes. Expertise in Python programming language for data manipulation, scripting, and automation tasks. Solid understanding of data modeling concepts and experience in designing efficient and scalable data architectures. Experience with AWS services, such as EC2, S3,Lambda, Redshift, Glue, or Athena, for building data pipelines. Familiarity with version control systems, such as Git, for managing code repositories. Proficiency in optimizing and fine-tuning SQL queries for performance and efficiency. Strong problem-solving skills and ability to troubleshoot complex data-related issues. Excellent communication and collaboration skills to work effectively with cross-functional teams. Nice to Have: Master's degree in Computer Science, Engineering, or a related field. Experience with big data technologies, such as Hadoop, Spark, or Kafka. Knowledge of data warehousing concepts and experience with tools like Snowflake or Google Big Query. Familiarity with data visualization tools, such as Tableau or Power BI, for creating insightful reports and dashboards. Understanding of machine learning concepts and experience with Client pipelines and frameworks. Certification in AWS or other relevant technologies. Active participation in data engineering communities, conferences, or open-source projects. JanHaviSingh Technical Recruiter Desk: 4694980815 Email: [email protected] Keywords: business intelligence sthree green card Colorado |
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Thu Jul 27 20:05:00 UTC 2023 |