Overview
You will be a part of our Data Engineering team and will be focused on delivering exceptional results for our clients.
A large portion of your time will be in the weeds working alongside your team architecture, designing, implementing, and optimizing data solutions.
You’ll work with the team to deliver, migrate and/or scale cloud data solutions; build pipelines and scalable analytic tools using leading technologies including AWS, Azure, GCP, Spark, Hadoop, etc.
What you’ll be doing?
· Develop data pipelines to move and transform data from various sources to data warehouses
· Ensure the quality, reliability, and scalability of the organization's data infrastructure
· Optimize data processing and storage for performance and cost-effectiveness
· Collaborate with data scientists, analysts, and other stakeholders to understand their requirements and develop solutions to meet their needs
· Continuously monitor and troubleshoot data pipelines to ensure their reliability and availability
· Stay up to date with the latest trends and technologies in data engineering and apply them to improve our data capabilities
Qualifications
· Bachelor’s degree in computer science, Software Engineering, or a related field
· 6+ years of experience in data engineering or a related field
· Strong programming skills in Python or Scala or Java
· Expert SQL skills and a good understanding of existing SQL warehouses
· Familiarity with big data technologies like Hadoop, Spark, or Hive
· Experience with cloud-based data storage and processing platforms like AWS, Azure, or GCP
· Strong problem-solving and communication skills
Job Type: Full-time
Schedule:
- Day shift
Experience:
- Data Engineer: 6 years (Required)
Work Location: In person