Data Engineer Denver CO Onsite Term 12 months at Denver, Colorado, USA |
Email: [email protected] |
From: rohit yadav, Cloud Think Technologies [email protected] Reply to: [email protected] Hi, This is Rohit Yadav, Senior Technical Recruiter from Cloud think tech Inc. I have urgent requirement for the position mentioned below. Please let me know if you are interested regarding this position. Reply me with your confirmation, waiting for your positive reply. Job Role : Data Engineer Location: Denver, CO (Onsite) Term: 12+ months CTH Dont forget to provide references. LinkedIn must have 40/hr. on CTC Job Description GavinHeath is partnering with a client in Englewood, CO looking to add a Data Engineer to their team. The role is a Contract to Hire position. 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 BigQuery. 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. GavinHeath is an equal opportunity employer. GavinHeath will extend equal opportunity to all individuals without regard to race, religion, color, sex (including pregnancy, sexual orientation and gender identity), national origin, disability, age, creed, ancestry, genetic information, or any other status protected under applicable federal, state, or local laws. Remarks : Data Engineer AWS (S3, Glue, EC2), Git, Python, SQL 3 rounds, first 2 involve a coding challenge in Python and SQL Limited interview slots Rohit Yadav Cloud Think Technologies Direct: 904-558-3164 : [email protected] Keywords: business intelligence sthree Colorado |
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Wed Aug 02 00:54:00 UTC 2023 |