Senior Data Engineer

Company Description

BLEND360 is adding to our team of passionate people who are revolutionizing the world of Data Science.  We are an award-winning, new breed Data Science\Data Engineering\BI Solutions Company focused on powering exceptional results to our Fortune 500 clients.  We are a growing company – born at the intersection of advanced analytics, data and technology. 

Our new Director of Data Engineering will be in the forefront of driving major projects within BLEND360 and working with our data engineering team to develop innovative data driven solutions that integrate distributed sources of data, perform large scale learning and reasoning, and integrate results.

Job Description

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.

Responsibilities:

• 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
• 5+ 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