| Immediate Job Opening_ Data Engineer at Phoenix, Arizona, USA |
| Email: [email protected] |
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Job Title: Data Engineer Location: Phoenix,AZ Local ONLY Job Description: We are looking for an experienced Data Engineer with 5+ years of hands-on experience to join our dynamic team. The ideal candidate will have a strong foundation in Python, SQL, and Big Data technologies, with a particular emphasis on Apache Airflow. This is an exciting opportunity to work with cutting-edge technologies and build robust data pipelines, optimize workflows, and support scalable data infrastructure. Key Responsibilities: Design, develop, and maintain scalable and efficient data pipelines to support large-scale data processing. Collaborate with cross-functional teams to understand data requirements and develop solutions that ensure the accuracy and integrity of data. Build, manage, and optimize workflows using Apache Airflow for automating data pipelines. Develop and maintain ETL processes for data ingestion, transformation, and loading. Write and optimize SQL queries for querying and manipulating large datasets. Work with Big Data technologies and platforms (e.g., Hadoop, Spark, Kafka, etc.) to process and manage data at scale. Ensure high data quality, performance, and reliability in data processes. Troubleshoot and resolve issues related to data systems and workflows. Maintain and optimize cloud infrastructure for data storage, processing, and analysis. Stay up-to-date with industry trends and technologies to propose new solutions and improvements. Required Skills and Qualifications: 5+ years of experience in Data Engineering or a similar role. Strong proficiency in Python for data engineering tasks, automation, and pipeline creation. Expertise in SQL for querying relational databases and handling large datasets. Extensive experience with Apache Airflow for workflow orchestration and pipeline management. Hands-on experience with Big Data technologies (e.g., Hadoop, Spark, Kafka, etc.). Knowledge of cloud platforms such as AWS, GCP, or Azure. Strong problem-solving skills and the ability to work with complex data systems. Ability to design and optimize scalable, efficient data architecture. Familiarity with version control systems (e.g., Git) and CI/CD practices. Excellent communication and collaboration skills. Preferred Skills: Experience with data warehousing solutions (e.g., Redshift, Snowflake, BigQuery). Familiarity with data modeling and data lakes. Experience with containerization technologies like Docker and Kubernetes. Education: Bachelors or Masters degree in Computer Science, Engineering, or a related field (or equivalent practical experience). Thank you! Respectfully Yours, Kushal Raghuvanshi || Technical Recruiter Zenith Infotek LLC | 4400 State Hwy 121, Suite 335, Lewisville, TX 75056 Kushal.r @zenithinfotek.com | | sender notified by Mail Track for Gmail | -- Keywords: continuous integration continuous deployment rlang information technology Arizona Texas Immediate Job Opening_ Data Engineer [email protected] |
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| 05:13 AM 08-Mar-25 |