Note: The job is a remote job and is open to candidates in USA. Lovelytics is hiring a Senior Consultant, Data Engineer to deliver client engagements involving data warehousing, ETL development, SAP, data integrations, and data modeling. The role focuses on implementing and migrating data solutions using technologies such as Databricks, AWS, and Azure.
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 sometimes lead individual work streams on client engagements as assigned and under supervision of engagement lead
- 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, you'll become involved in the project planning and solution stages of engagements as well
- Design and implement complex ETL/ELT pipelines with evidence of improved data processing times
- Successfully lead small data warehousing projects with measurable performance enhancements under the management 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
Skills
- This role is not open for work sponsorship at this time
- B.S. in Computer Science or equivalent
- 2-3 years' experience in data engineering and big data
- At least 1 year working directly with clients and external stakeholders
- Extensive knowledge of data warehousing concepts and hands-on experience deploying pipelines using Databricks **A must
- Data modeling and database design skills and knowledge of version control
- Excellent verbal and written communication skills
- Is able to apply technical skills to engagement needs
Benefits
- Exciting projects with great clients in varying departments and verticals across the world
- The ability to work closely with experienced data engineers and quickly grow and expand your skillset
- The ability to work closely with all sizes of companies, ranging from Fortune 100 to small local businesses
- A workplace where you are encouraged to challenge the status quo and develop new technologies, methodologies, and processes
- A diverse team consisting of data gurus, experience seekers, and entrepreneurial minds that are always pushing to be better
- Remote work for candidates in the US
Company Overview