Video
Onsite
W2
About The Role
Are you a Data Engineer ready to take on new challenges? Our client, a major player in the Greater Phoenix area, is on the lookout for talented Mid-Senior Level Data Engineers. This role is perfect for someone who thrives in a dynamic environment and is passionate about leveraging data to drive business insights.
Key Responsibilities
- Data Pipeline Development: Design, build, and maintain scalable data pipelines that can handle large volumes of data from various sources.
- Data Warehousing: Develop and optimize data warehousing solutions to store, manage, and query large datasets efficiently.
- ETL Processes: Implement and manage Extract, Transform, Load (ETL) processes to ensure seamless data flow and integration.
- Data Modeling: Create and maintain data models that support the analytical and business intelligence needs of the organization.
- Data Integration: Work closely with data scientists, analysts, and other stakeholders to integrate data from different sources and ensure data quality.
- Performance Optimization: Monitor and optimize the performance of data processing systems to ensure they meet the required SLAs and business needs.
- Collaboration: Collaborate with cross-functional teams to understand their data needs and provide solutions that drive business outcomes.
Required Skills And Qualifications - Experience: 5+ years of experience as a Data Engineer, with a proven track record of delivering complex data solutions.
- Technical Proficiency: Strong expertise in the following technologies:
- Data Warehousing: Experience with data warehousing solutions like Amazon Redshift, Google BigQuery, or Snowflake.
- ETL Tools: Proficient in ETL tools such as Apache NiFi, Talend, Informatica, or similar.
- Programming Languages: Proficient in Python, Java, or Scala for data processing.
- SQL: Strong SQL skills for querying and manipulating data.
- Cloud Platforms: Experience with cloud platforms such as AWS, Azure, or Google Cloud.
- Big Data Technologies: Familiarity with big data technologies like Hadoop, Spark, or Kafka.
- Data Modeling: Experience in designing and implementing complex data models.
- Problem-Solving: Strong analytical and problem-solving skills with the ability to troubleshoot and resolve data-related issues.
- Communication: Excellent communication skills, both written and verbal, with the ability to collaborate effectively with technical and non-technical stakeholders.
Preferred Qualifications
- Certifications: Relevant certifications in cloud computing, data engineering, or big data technologies
- Leadership: Experience mentoring junior data engineers and contributing to team development.
Work Environment
- This position requires working onsite 4 days a week in the Greater Phoenix Area.
- The candidate must be comfortable with a fast-paced, collaborative work environment.