Data Engineer

We, Blobstation, are one of the fastest growing companies in the software development industry. We work at a fast pace on awesome projects with our partners and clients. We are always looking for energetic, smart and talented people to join our team.

We are looking for a Data Engineer who will act as a mentor to colleagues and promotes best practices in his/her field of expertise, contributes to design and architecture decisions, and makes technical recommendations. The person has hands-on expertise with data pipeline development, data modelling and schemas design across a wide range of technologies.

Experience:- 3 to 5 Years

Workplace Type:- On-site

Responsibilities:

• Design and implement data pipelines/ ETLs in Python, MSSQL server, Azure/ AWS as needed.
• Manage the architectural design and development for the company’s future unified BI system.
• Extricate data pipeline and modelling requirements for business intelligence solutions.
• Develop and orchestrate scripts as needed using Git and Airflow, in both Unix and Windows based environments.
• Manage end to end life cycle of BI products, including design, development, testing, deployment, and maintenance activities, for assigned projects.
• Model data according to Kimball or Inmon methodologies, in support of Business Intelligence projects.
• Ensure data and report integrity by implementing and adhering to industry best practices, and quality control processes.
• Partner with other data engineers, developers, infrastructure specialists and customers within a dynamic group setting. Identify and document data ingress an degress patterns, model production workloads, perform cost-benefit analysis, and make architectural recommendations as relevant to Business Intelligence operations.
• Participate in scrum ceremonies, customer demos and team events as required.

Qualifications:

• Bachelor in Data Engineering, Computer Science or equivalent.
• 3 to 5 years of experience in data engineering or equivalent.

Benefits working at Blobstation:

• 5 days a week
• Health Insurance
• Sponsorship for certification
• Flexible working hours with possibility of working from home