Job Seekers, Please send resumes to resumes@hireitpeople.com
Job Responsibilities:
- Utilize consulting and technical skills to be able to work in a client-facing project environment independently.
- Be responsible for your own execution and often others' on client projects, communicating directly with internal and external stakeholders on status updates and potential roadblocks.
- Collaborate with other team members to successfully deliver on projects.
- Work effectively and directly communicate with both internal and client and/or partner teams.
- Develop full ownership of your execution on client engagements, play a role in the project planning and solution stages of engagements as well.
- Lead the end-to-end implementation of multiple ETL/ELT pipelines, demonstrating efficient data transformation.
- Mentor junior data engineers, and their growth is evident in their project contributions
- Successfully lead small data warehousing projects with measurable performance enhancements under the management of an engagement lead- may also play the role of an engagement lead.
- Contribute to real-time data processing solutions and managed streaming data.
- Implement security and compliance measures for data pipelines.
- Design and implement version control and branching strategies and integrate them into CI/CD for promoting and testing in higher environments.
Our Ideal Candidate's Skills and Experiences:
- B.S. in Computer Science or equivalent
- 4-6 years' experience in data engineering and big data. 2 years' of professional services experience interacting directly with clients.
- Extensive knowledge of data warehousing concepts and hands-on experience deploying pipelines using Databricks **a must
- Databricks Solution Architect certification a plus.
- Data modelling and database design skills and knowledge of version control
- Excellent verbal and written communication skills
- Experience architecting scalable and fault-tolerant data solutions across Azure, AWS, and Databricks
